197 results on '"Sakoda LC"'
Search Results
2. Aspirin but not ibuprofen use is associated with reduced risk of prostate cancer: a PLCO study.
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Shebl, FM, Sakoda, LC, Black, A, Koshiol, J, Andriole, GL, Grubb, R, Church, TR, Chia, D, Zhou, C, Chu, LW, Huang, W-Y, Peters, U, Kirsh, VA, Chatterjee, N, Leitzmann, MF, Hayes, RB, and Hsing, AW
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Humans ,Prostatic Neoplasms ,Aspirin ,Ibuprofen ,Anti-Inflammatory Agents ,Non-Steroidal ,Risk ,Risk Reduction Behavior ,Age Factors ,Aged ,Middle Aged ,Male ,prostate cancer ,non-steroidal anti-inflammatory drugs ,cyclooxgenase ,Anti-Inflammatory Agents ,Non-Steroidal ,Oncology and Carcinogenesis ,Public Health and Health Services ,Oncology & Carcinogenesis - Abstract
BackgroundAlthough most epidemiological studies suggest that non-steroidal anti-inflammatory drug use is inversely associated with prostate cancer risk, the magnitude and specificity of this association remain unclear.MethodsWe examined self-reported aspirin and ibuprofen use in relation to prostate cancer risk among 29 450 men ages 55-74 who were initially screened for prostate cancer from 1993 to 2001 in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Men were followed from their first screening exam until 31 December 2009, during which 3575 cases of prostate cancer were identified.ResultsAfter adjusting for potential confounders, the hazard ratios (HRs) of prostate cancer associated with
- Published
- 2012
3. Phytoestrogen consumption and breast cancer risk in a multiethnic population: the Bay Area Breast Cancer Study.
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Horn-Ross, PL, John, EM, Lee, M, Stewart, SL, Koo, J, Sakoda, LC, Shiau, AC, Goldstein, J, Davis, P, and Perez-Stable, EJ
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Humans ,Plants ,Breast Neoplasms ,Isoflavones ,Plant Preparations ,Estrogens ,Non-Steroidal ,Phytoestrogens ,Logistic Models ,Risk Factors ,Case-Control Studies ,Feeding Behavior ,Adult ,Aged ,Middle Aged ,African Americans ,European Continental Ancestry Group ,Hispanic Americans ,San Francisco ,Female ,breast neoplasms ,ethnic groups ,isoflavones ,lignans ,soybeans ,Mathematical Sciences ,Medical and Health Sciences ,Epidemiology - Abstract
Research on the relation between phytoestrogens and breast cancer risk has been limited in scope. Most epidemiologic studies have involved Asian women and have examined the effects of traditional soy foods (e.g., tofu), soy protein, or urinary excretion of phytoestrogens. The present study extends this research by examining the effects of a spectrum of phytoestrogenic compounds on breast cancer risk in non-Asian US women. African-American, Latina, and White women aged 35-79 years, who were diagnosed with breast cancer between 1995 and 1998, were compared with women selected from the general population via random digit dialing. Interviews were conducted with 1,326 cases and 1,657 controls. Usual intake of specific phytoestrogenic compounds was assessed via a food frequency questionnaire and a newly developed nutrient database. Phytoestrogen intake was not associated with breast cancer risk (odds ratio = 1.0, 95% confidence interval: 0.80, 1.3 for the highest vs. lowest quartile). Results were similar for pre- and postmenopausal women, for women in each ethnic group, and for all seven phytoestrogenic compounds studied. Phytoestrogens appear to have little effect on breast cancer risk at the levels commonly consumed by non-Asian US women: an average intake equivalent to less than one serving of tofu per week.
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- 2001
4. Phytoestrogen Consumption and Breast Cancer Risk in a Multiethnic PopulationThe Bay Area Breast Cancer Study
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Horn-Ross, PL, John, EM, Lee, M, Stewart, SL, Koo, J, Sakoda, LC, Shiau, AC, Goldstein, J, Davis, P, and Perez-Stable, EJ
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Prevention ,Breast Cancer ,Clinical Research ,Nutrition ,Aging ,Complementary and Integrative Health ,Cancer ,Adult ,Black or African American ,Aged ,Breast Neoplasms ,Case-Control Studies ,Estrogens ,Non-Steroidal ,Feeding Behavior ,Female ,Hispanic or Latino ,Humans ,Isoflavones ,Logistic Models ,Middle Aged ,Phytoestrogens ,Plant Preparations ,Plants ,Risk Factors ,San Francisco ,White People ,breast neoplasms ,ethnic groups ,isoflavones ,lignans ,soybeans ,Mathematical Sciences ,Medical and Health Sciences ,Epidemiology - Abstract
Research on the relation between phytoestrogens and breast cancer risk has been limited in scope. Most epidemiologic studies have involved Asian women and have examined the effects of traditional soy foods (e.g., tofu), soy protein, or urinary excretion of phytoestrogens. The present study extends this research by examining the effects of a spectrum of phytoestrogenic compounds on breast cancer risk in non-Asian US women. African-American, Latina, and White women aged 35-79 years, who were diagnosed with breast cancer between 1995 and 1998, were compared with women selected from the general population via random digit dialing. Interviews were conducted with 1,326 cases and 1,657 controls. Usual intake of specific phytoestrogenic compounds was assessed via a food frequency questionnaire and a newly developed nutrient database. Phytoestrogen intake was not associated with breast cancer risk (odds ratio = 1.0, 95% confidence interval: 0.80, 1.3 for the highest vs. lowest quartile). Results were similar for pre- and postmenopausal women, for women in each ethnic group, and for all seven phytoestrogenic compounds studied. Phytoestrogens appear to have little effect on breast cancer risk at the levels commonly consumed by non-Asian US women: an average intake equivalent to less than one serving of tofu per week.
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- 2001
5. Body mass index and molecular subtypes of colorectal cancer.
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Murphy, N, Newton, CC, Song, M, Papadimitriou, N, Hoffmeister, M, Phipps, AI, Harrison, TA, Newcomb, PA, Aglago, EK, Berndt, SI, Brenner, H, Buchanan, DD, Cao, Y, Chan, AT, Chen, X, Cheng, I, Chang-Claude, J, Dimou, N, Drew, D, Farris, AB, French, AJ, Gallinger, S, Georgeson, P, Giannakis, M, Giles, GG, Gruber, SB, Harlid, S, Hsu, L, Huang, W-Y, Jenkins, MA, Laskar, RS, Le Marchand, L, Limburg, P, Lin, Y, Mandic, M, Nowak, JA, Obón-Santacana, M, Ogino, S, Qu, C, Sakoda, LC, Schoen, RE, Southey, MC, Stadler, ZK, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Trinh, QM, Tsilidis, KK, Ugai, T, Van Guelpen, B, Wang, X, Woods, MO, Zaidi, SH, Gunter, MJ, Peters, U, Campbell, PT, Murphy, N, Newton, CC, Song, M, Papadimitriou, N, Hoffmeister, M, Phipps, AI, Harrison, TA, Newcomb, PA, Aglago, EK, Berndt, SI, Brenner, H, Buchanan, DD, Cao, Y, Chan, AT, Chen, X, Cheng, I, Chang-Claude, J, Dimou, N, Drew, D, Farris, AB, French, AJ, Gallinger, S, Georgeson, P, Giannakis, M, Giles, GG, Gruber, SB, Harlid, S, Hsu, L, Huang, W-Y, Jenkins, MA, Laskar, RS, Le Marchand, L, Limburg, P, Lin, Y, Mandic, M, Nowak, JA, Obón-Santacana, M, Ogino, S, Qu, C, Sakoda, LC, Schoen, RE, Southey, MC, Stadler, ZK, Steinfelder, RS, Sun, W, Thibodeau, SN, Toland, AE, Trinh, QM, Tsilidis, KK, Ugai, T, Van Guelpen, B, Wang, X, Woods, MO, Zaidi, SH, Gunter, MJ, Peters, U, and Campbell, PT
- Abstract
BACKGROUND: Obesity is an established risk factor for colorectal cancer (CRC), but the evidence for the association is inconsistent across molecular subtypes of the disease. METHODS: We pooled data on body mass index (BMI), tumor microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, and Jass classification types for 11 872 CRC cases and 11 013 controls from 11 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for covariables. RESULTS: Higher BMI was associated with increased CRC risk (OR per 5 kg/m2 = 1.18, 95% CI = 1.15 to 1.22). The positive association was stronger for men than women but similar across tumor subtypes defined by individual molecular markers. In analyses by Jass type, higher BMI was associated with elevated CRC risk for types 1-4 cases but not for type 5 CRC cases (considered familial-like/Lynch syndrome microsatellite instability-H, CpG island methylator phenotype-low or negative, BRAF-wild type, KRAS-wild type, OR = 1.04, 95% CI = 0.90 to 1.20). This pattern of associations for BMI and Jass types was consistent by sex and design of contributing studies (cohort or case-control). CONCLUSIONS: In contrast to previous reports with fewer study participants, we found limited evidence of heterogeneity for the association between BMI and CRC risk according to molecular subtype, suggesting that obesity influences nearly all major pathways involved in colorectal carcinogenesis. The null association observed for the Jass type 5 suggests that BMI is not a risk factor for the development of CRC for individuals with Lynch syndrome.
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- 2023
6. Genetic variants associated with circulating C-reactive protein levels and colorectal cancer survival: Sex-specific and lifestyle factors specific associations
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Huang, Y, Hua, X, Labadie, JD, Harrison, TA, Dai, JY, Lindstrom, S, Lin, Y, Berndt, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, SJ, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Sakoda, LC, Schoen, RE, Diergaarde, B, Slattery, ML, White, E, Giles, G, Brenner, H, Chang-Claude, J, Joshi, A, Ma, W, Pai, RK, Chan, AT, Peters, U, Newcomb, PA, Huang, Y, Hua, X, Labadie, JD, Harrison, TA, Dai, JY, Lindstrom, S, Lin, Y, Berndt, S, Buchanan, DD, Campbell, PT, Casey, G, Gallinger, SJ, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Sakoda, LC, Schoen, RE, Diergaarde, B, Slattery, ML, White, E, Giles, G, Brenner, H, Chang-Claude, J, Joshi, A, Ma, W, Pai, RK, Chan, AT, Peters, U, and Newcomb, PA
- Abstract
Elevated blood levels of C-reactive protein (CRP) have been linked to colorectal cancer (CRC) survival. We evaluated genetic variants associated with CRP levels and their interactions with sex and lifestyle factors in association with CRC-specific mortality. Our study included 16 142 CRC cases from the International Survival Analysis in Colorectal Cancer Consortium. We identified 618 common single nucleotide polymorphisms (SNPs) associated with CRP levels from the NHGRI-EBI GWAS Catalog. Cox proportional hazards regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between SNPs and CRC-specific mortality adjusting for age, sex, genotyping platform/study and principal components. We investigated their interactions with sex and lifestyle factors using likelihood ratio tests. Of 5472 (33.9%) deaths accrued over up to 10 years of follow-up, 3547 (64.8%) were due to CRC. No variants were associated with CRC-specific mortality after multiple comparison correction. We observed strong evidence of interaction between variant rs1933736 at FRK gene and sex in relation to CRC-specific mortality (corrected Pinteraction = .0004); women had higher CRC-specific mortality associated with the minor allele (HR = 1.11, 95% CI = 1.04-1.19) whereas an inverse association was observed for men (HR = 0.88, 95% CI = 0.82-0.94). There was no evidence of interactions between CRP-associated SNPs and alcohol, obesity or smoking. Our study observed a significant interaction between sex and a CRP-associated variant in relation to CRC-specific mortality. Future replication of this association and functional annotation of the variant are needed.
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- 2022
7. Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk
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Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, Hsu, L, Haas, CB, Su, Y-R, Petersen, P, Wang, X, Bien, SA, Lin, Y, Albanes, D, Weinstein, SJ, Jenkins, MA, Figueiredo, JC, Newcomb, PA, Casey, G, Le Marchand, L, Campbell, PT, Moreno, V, Potter, JD, Sakoda, LC, Slattery, ML, Chan, AT, Li, L, Giles, GG, Milne, RL, Gruber, SB, Rennert, G, Woods, MO, Gallinger, SJ, Berndt, S, Hayes, RB, Huang, W-Y, Wolk, A, White, E, Nan, H, Nassir, R, Lindor, NM, Lewinger, JP, Kim, AE, Conti, D, Gauderman, WJ, Buchanan, DD, Peters, U, and Hsu, L
- Abstract
Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
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- 2022
8. Genome-Wide Interaction Analysis of Genetic Variants With Menopausal Hormone Therapy for Colorectal Cancer Risk
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Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, Chang-Claude, J, Tian, Y, Kim, AE, Bien, SA, Lin, Y, Qu, C, Harrison, TA, Carreras-Torres, R, Diez-Obrero, V, Dimou, N, Drew, DA, Hidaka, A, Huyghe, JR, Jordahl, KM, Morrison, J, Murphy, N, Obon-Santacana, M, Ulrich, CM, Ose, J, Peoples, AR, Ruiz-Narvaez, EA, Shcherbina, A, Stern, MC, Su, Y-R, van Duijnhoven, FJB, Arndt, V, Baurley, JW, Berndt, S, Bishop, DT, Brenner, H, Buchanan, DD, Chan, AT, Figueiredo, JC, Gallinger, S, Gruber, SB, Harlid, S, Hoffmeister, M, Jenkins, MA, Joshi, AD, Keku, TO, Larsson, SC, Le Marchand, L, Li, L, Giles, GG, Milne, RL, Nan, H, Nassir, R, Ogino, S, Budiarto, A, Platz, EA, Potter, JD, Prentice, RL, Rennert, G, Sakoda, LC, Schoen, RE, Slattery, ML, Thibodeau, SN, Van Guelpen, B, Visvanathan, K, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Casey, G, Conti, D, Gunter, MJ, Kundaje, A, Lewinger, JP, Moreno, V, Newcomb, PA, Pardamean, B, Thomas, DC, Tsilidis, KK, Peters, U, Gauderman, WJ, Hsu, L, and Chang-Claude, J
- Abstract
BACKGROUND: The use of menopausal hormone therapy (MHT) may interact with genetic variants to influence colorectal cancer (CRC) risk. METHODS: We conducted a genome-wide, gene-environment interaction between single nucleotide polymorphisms and the use of any MHT, estrogen only, and combined estrogen-progestogen therapy with CRC risk, among 28 486 postmenopausal women (11 519 CRC patients and 16 967 participants without CRC) from 38 studies, using logistic regression, 2-step method, and 2- or 3-degree-of-freedom joint test. A set-based score test was applied for rare genetic variants. RESULTS: The use of any MHT, estrogen only and estrogen-progestogen were associated with a reduced CRC risk (odds ratio [OR] = 0.71, 95% confidence interval [CI] = 0.64 to 0.78; OR = 0.65, 95% CI = 0.53 to 0.79; and OR = 0.73, 95% CI = 0.59 to 0.90, respectively). The 2-step method identified a statistically significant interaction between a GRIN2B variant rs117868593 and MHT use, whereby MHT-associated CRC risk was statistically significantly reduced in women with the GG genotype (OR = 0.68, 95% CI = 0.64 to 0.72) but not within strata of GC or CC genotypes. A statistically significant interaction between a DCBLD1 intronic variant at 6q22.1 (rs10782186) and MHT use was identified by the 2-degree-of-freedom joint test. The MHT-associated CRC risk was reduced with increasing number of rs10782186-C alleles, showing odds ratios of 0.78 (95% CI = 0.70 to 0.87) for TT, 0.68 (95% CI = 0.63 to 0.73) for TC, and 0.66 (95% CI = 0.60 to 0.74) for CC genotypes. In addition, 5 genes in rare variant analysis showed suggestive interactions with MHT (2-sided P < 1.2 × 10-4). CONCLUSION: Genetic variants that modify the association between MHT and CRC risk were identified, offering new insights into pathways of CRC carcinogenesis and potential mechanisms involved.
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- 2022
9. Genetically Predicted Circulating C-Reactive Protein Concentration and Colorectal Cancer Survival: A Mendelian Randomization Consortium Study
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Hua, X, Dai, JY, Lindstrom, S, Harrison, TA, Lin, Y, Alberts, SR, Alwers, E, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Casey, G, Chang-Claude, J, Gallinger, S, Giles, GG, Goldberg, RM, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Ma, W, Milne, RL, Murphy, N, Pai, RK, Sakoda, LC, Schoen, RE, Shi, Q, Slattery, ML, Song, M, White, E, Le Marchand, L, Chan, AT, Peters, U, Newcomb, PA, Hua, X, Dai, JY, Lindstrom, S, Harrison, TA, Lin, Y, Alberts, SR, Alwers, E, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Casey, G, Chang-Claude, J, Gallinger, S, Giles, GG, Goldberg, RM, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Ma, W, Milne, RL, Murphy, N, Pai, RK, Sakoda, LC, Schoen, RE, Shi, Q, Slattery, ML, Song, M, White, E, Le Marchand, L, Chan, AT, Peters, U, and Newcomb, PA
- Abstract
BACKGROUND: A positive association between circulating C-reactive protein (CRP) and colorectal cancer survival was reported in observational studies, which are susceptible to unmeasured confounding and reverse causality. We used a Mendelian randomization approach to evaluate the association between genetically predicted CRP concentrations and colorectal cancer-specific survival. METHODS: We used individual-level data for 16,918 eligible colorectal cancer cases of European ancestry from 15 studies within the International Survival Analysis of Colorectal Cancer Consortium. We calculated a genetic-risk score based on 52 CRP-associated genetic variants identified from genome-wide association studies. Because of the non-collapsibility of hazard ratios from Cox proportional hazards models, we used the additive hazards model to calculate hazard differences (HD) and 95% confidence intervals (CI) for the association between genetically predicted CRP concentrations and colorectal cancer-specific survival, overall and by stage at diagnosis and tumor location. Analyses were adjusted for age at diagnosis, sex, body mass index, genotyping platform, study, and principal components. RESULTS: Of the 5,395 (32%) deaths accrued over up to 10 years of follow-up, 3,808 (23%) were due to colorectal cancer. Genetically predicted CRP concentration was not associated with colorectal cancer-specific survival (HD, -1.15; 95% CI, -2.76 to 0.47 per 100,000 person-years; P = 0.16). Similarly, no associations were observed in subgroup analyses by stage at diagnosis or tumor location. CONCLUSIONS: Despite adequate power to detect moderate associations, our results did not support a causal effect of circulating CRP concentrations on colorectal cancer-specific survival. IMPACT: Future research evaluating genetically determined levels of other circulating inflammatory biomarkers (i.e., IL6) with colorectal cancer survival outcomes is needed.
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- 2021
10. Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer
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Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Lin, Y, Jeon, J, Harrison, TA, Bishop, DT, Brenner, H, Casey, G, Chan, AT, Chang-Claude, J, Figueiredo, JC, Gallinger, S, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Keku, TO, Le Marchand, L, Li, L, Moreno, V, Newcomb, PA, Pai, R, Parfrey, PS, Rennert, G, Sakoda, LC, Sandler, RS, Slattery, ML, Song, M, Win, AK, Woods, MO, Murphy, N, Campbell, PT, Su, Y-R, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Hsu, L, Peters, U, and Hayes, RB
- Abstract
BACKGROUND: Incidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite. METHODS: Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite. RESULTS: Early-onset CRC was associated with not regularly using nonsteroidal anti-inflammatory drugs (OR = 1.43, 95% CI = 1.21 to 1.68), greater red meat intake (OR = 1.10, 95% CI = 1.04 to 1.16), lower educational attainment (OR = 1.10, 95% CI = 1.04 to 1.16), alcohol abstinence (OR = 1.23, 95% CI = 1.08 to 1.39), and heavier alcohol use (OR = 1.25, 95% CI = 1.04 to 1.50). No factors exhibited a greater excess in early-onset compared with late-onset CRC. Evaluating risks by anatomic subsite, we found that lower total fiber intake was linked more strongly to rectal (OR = 1.30, 95% CI = 1.14 to 1.48) than colon cancer (OR = 1.14, 95% CI = 1.02 to 1.27; P = .04). CONCLUSION: In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.
- Published
- 2021
11. Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study
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Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, Relton, CL, Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, and Relton, CL
- Abstract
Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin-use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR: 1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI: 0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.
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- 2021
12. Association Between Smoking and Molecular Subtypes of Colorectal Cancer
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Wang, X, Amitay, E, Harrison, TA, Banbury, BL, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Gallinger, SJ, Giannakis, M, Giles, GG, Gunter, MJ, Hopper, JL, Jenkins, MA, Lin, Y, Moreno, V, Nishihara, R, Newcomb, PA, Ogino, S, Phipps, A, Sakoda, LC, Schoen, RE, Slattery, ML, Song, M, Sun, W, Thibodeau, SN, Toland, AE, Van Guelpen, B, Woods, MO, Hsu, L, Hoffmeister, M, Peters, U, Wang, X, Amitay, E, Harrison, TA, Banbury, BL, Berndt, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, Gallinger, SJ, Giannakis, M, Giles, GG, Gunter, MJ, Hopper, JL, Jenkins, MA, Lin, Y, Moreno, V, Nishihara, R, Newcomb, PA, Ogino, S, Phipps, A, Sakoda, LC, Schoen, RE, Slattery, ML, Song, M, Sun, W, Thibodeau, SN, Toland, AE, Van Guelpen, B, Woods, MO, Hsu, L, Hoffmeister, M, and Peters, U
- Abstract
BACKGROUND: Smoking is associated with colorectal cancer (CRC) risk. Previous studies suggested this association may be restricted to certain molecular subtypes of CRC, but large-scale comprehensive analysis is lacking. METHODS: A total of 9789 CRC cases and 11 231 controls of European ancestry from 11 observational studies were included. We harmonized smoking variables across studies and derived sex study-specific quartiles of pack-years of smoking for analysis. Four somatic colorectal tumor markers were assessed individually and in combination, including BRAF mutation, KRAS mutation, CpG island methylator phenotype (CIMP), and microsatellite instability (MSI) status. A multinomial logistic regression analysis was used to assess the association between smoking and risk of CRC subtypes by molecular characteristics, adjusting for age, sex, and study. All statistical tests were 2-sided and adjusted for Bonferroni correction. RESULTS: Heavier smoking was associated with higher risk of CRC overall and stratified by individual markers (P trend < .001). The associations differed statistically significantly between all molecular subtypes, which was the most statistically significant for CIMP and BRAF. Compared with never-smokers, smokers in the fourth quartile of pack-years had a 90% higher risk of CIMP-positive CRC (odds ratio = 1.90, 95% confidence interval = 1.60 to 2.26) but only 35% higher risk for CIMP-negative CRC (odds ratio = 1.35, 95% confidence interval = 1.22 to 1.49; P difference = 2.1 x 10-6). The association was also stronger in tumors that were CIMP positive, MSI high, or KRAS wild type when combined (P difference < .001). CONCLUSION: Smoking was associated with differential risk of CRC subtypes defined by molecular characteristics. Heavier smokers had particularly higher risk of CRC subtypes that were CIMP positive and MSI high in combination, suggesting that smoking may be involved in the development of colorectal tumors via the serrated pathway.
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- 2021
13. Genetic architectures of proximal and distal colorectal cancer are partly distinct
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Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, Peters, U, Huyghe, JR, Harrison, TA, Bien, SA, Hampel, H, Figueiredo, JC, Schmit, SL, Conti, D, Chen, S, Qu, C, Lin, Y, Barfield, R, Baron, JA, Cross, AJ, Diergaarde, B, Duggan, D, Harlid, S, Imaz, L, Kang, HM, Levine, DM, Perduca, V, Perez-Cornago, A, Sakoda, LC, Schumacher, FR, Slattery, ML, Toland, AE, van Duijnhoven, FJB, Van Guelpen, B, Agudo, A, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Banbury, BL, Bassik, MC, Berndt, S, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Boutron-Ruault, M-C, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Caan, BJ, Campbell, PT, Carr, PR, Castells, A, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Curtis, KR, de la Chapelle, A, Easton, DF, English, DR, Feskens, EJM, Gala, M, Gallinger, SJ, Gauderman, WJ, Giles, GG, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Jenab, M, Jenkins, MA, Joshi, AD, Keku, TO, Kooperberg, C, Kuhn, T, Kury, S, Le Marchand, L, Lejbkowicz, F, Li, C, Li, L, Lieb, W, Lindblom, A, Lindor, NM, Mannisto, S, Markowitz, SD, Milne, RL, Moreno, L, Murphy, N, Nassir, R, Offit, K, Ogino, S, Panico, S, Parfrey, PS, Pearlman, R, Pharoah, PDP, Phipps, A, Platz, EA, Potter, JD, Prentice, RL, Qi, L, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Schafmayer, C, Schoen, RE, Seminara, D, Song, M, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Trichopoulou, A, Ulrich, CM, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Abecasis, GR, Nickerson, DA, Scacheri, PC, Kundaje, A, Casey, G, Gruber, SB, Hsu, L, Moreno, V, Hayes, RB, Newcomb, PA, and Peters, U
- Abstract
OBJECTIVE: An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN: To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS: We identified 13 loci that reached genome-wide significance (p<5×10-8) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION: Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
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- 2021
14. Cumulative Burden of Colorectal Cancer Associated Genetic Variants Is More Strongly Associated With Early-Onset vs Late-Onset Cancer
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Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, Hayes, RB, Archambault, AN, Su, Y-R, Jeon, J, Thomas, M, Lin, Y, Conti, DV, Win, AK, Sakoda, LC, Lansdorp-Vogelaar, I, Peterse, EFP, Zauber, AG, Duggan, D, Holowatyj, AN, Huyghe, JR, Brenner, H, Cotterchio, M, Bezieau, S, Schmit, SL, Edlund, CK, Southey, MC, MacInnis, RJ, Campbell, PT, Chang-Claude, J, Slattery, ML, Chan, AT, Joshi, AD, Song, M, Cao, Y, Woods, MO, White, E, Weinstein, SJ, Ulrich, CM, Hoffmeister, M, Bien, SA, Harrison, TA, Hampe, J, Li, CI, Schafmayer, C, Offit, K, Pharoah, PD, Moreno, V, Lindblom, A, Wolk, A, Wu, AH, Li, L, Gunter, MJ, Gsur, A, Keku, TO, Pearlman, R, Bishop, DT, Castellvi-Bel, S, Moreira, L, Vodicka, P, Kampman, E, Giles, GG, Albanes, D, Baron, JA, Berndt, SI, Brezina, S, Buch, S, Buchanan, DD, Trichopoulou, A, Severi, G, Chirlaque, M-D, Sanchez, M-J, Palli, D, Kuhn, T, Murphy, N, Cross, AJ, Burnett-Hartman, AN, Chanock, SJ, de la Chapelle, A, Easton, DF, Elliott, F, English, DR, Feskens, EJM, FitzGerald, LM, Goodman, PJ, Hopper, JL, Hudson, TJ, Hunter, DJ, Jacobs, EJ, Joshu, CE, Kury, S, Markowitz, SD, Milne, RL, Platz, EA, Rennert, G, Rennert, HS, Schumacher, FR, Sandler, RS, Seminara, D, Tangen, CM, Thibodeau, SN, Toland, AE, van Duijnhoven, FJB, Visvanathan, K, Vodickova, L, Potter, JD, Mannisto, S, Weigl, K, Figueiredo, J, Martin, V, Larsson, SC, Parfrey, PS, Huang, W-Y, Lenz, H-J, Castelao, JE, Gago-Dominguez, M, Munoz-Garzon, V, Mancao, C, Haiman, CA, Wilkens, LR, Siegel, E, Barry, E, Younghusband, B, Van Guelpen, B, Harlid, S, Zeleniuch-Jacquotte, A, Liang, PS, Du, M, Casey, G, Lindor, NM, Le Marchand, L, Gallinger, SJ, Jenkins, MA, Newcomb, PA, Gruber, SB, Schoen, RE, Hampel, H, Corley, DA, Hsu, L, Peters, U, and Hayes, RB
- Abstract
BACKGROUND & AIMS: Early-onset colorectal cancer (CRC, in persons younger than 50 years old) is increasing in incidence; yet, in the absence of a family history of CRC, this population lacks harmonized recommendations for prevention. We aimed to determine whether a polygenic risk score (PRS) developed from 95 CRC-associated common genetic risk variants was associated with risk for early-onset CRC. METHODS: We studied risk for CRC associated with a weighted PRS in 12,197 participants younger than 50 years old vs 95,865 participants 50 years or older. PRS was calculated based on single nucleotide polymorphisms associated with CRC in a large-scale genome-wide association study as of January 2019. Participants were pooled from 3 large consortia that provided clinical and genotyping data: the Colon Cancer Family Registry, the Colorectal Transdisciplinary Study, and the Genetics and Epidemiology of Colorectal Cancer Consortium and were all of genetically defined European descent. Findings were replicated in an independent cohort of 72,573 participants. RESULTS: Overall associations with CRC per standard deviation of PRS were significant for early-onset cancer, and were stronger compared with late-onset cancer (P for interaction = .01); when we compared the highest PRS quartile with the lowest, risk increased 3.7-fold for early-onset CRC (95% CI 3.28-4.24) vs 2.9-fold for late-onset CRC (95% CI 2.80-3.04). This association was strongest for participants without a first-degree family history of CRC (P for interaction = 5.61 × 10-5). When we compared the highest with the lowest quartiles in this group, risk increased 4.3-fold for early-onset CRC (95% CI 3.61-5.01) vs 2.9-fold for late-onset CRC (95% CI 2.70-3.00). Sensitivity analyses were consistent with these findings. CONCLUSIONS: In an analysis of associations with CRC per standard deviation of PRS, we found the cumulative burden of CRC-associated common genetic variants to associate with early-onset cancer, and to be mo
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- 2020
15. Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk
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Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, Peters, U, Xia, Z, Su, Y-R, Petersen, P, Qi, L, Kim, AE, Figueiredo, JC, Lin, Y, Nan, H, Sakoda, LC, Albanes, D, Berndt, SI, Bezieau, S, Bien, S, Buchanan, DD, Casey, G, Chan, AT, Conti, DV, Drew, DA, Gallinger, SJ, Gauderman, WJ, Giles, GG, Gruber, SB, Gunter, MJ, Hoffmeister, M, Jenkins, MA, Joshi, AD, Le Marchand, L, Lewinger, JP, Li, L, Lindor, NM, Moreno, V, Murphy, N, Nassir, R, Newcomb, PA, Ogino, S, Rennert, G, Song, M, Wang, X, Wolk, A, Woods, MO, Brenner, H, White, E, Slattery, ML, Giovannucci, EL, Chang-Claude, J, Pharoah, PDP, Hsu, L, Campbell, PT, and Peters, U
- Abstract
BACKGROUND: Body mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology. METHODS: To improve statistical power and interpretation for gene-environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2 ) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype-Tissue Expression Project for all genes with heritability ≥1%. We used a mixed-effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI-CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR <0.2. RESULTS: Among 4839 genes tested, genetically predicted expressions of FOXA1 (P = 3.15 × 10-5 ), PSMC5 (P = 4.51 × 10-4 ) and CD33 (P = 2.71 × 10-4 ) modified the association of BMI on CRC risk for men; KIAA0753 (P = 2.29 × 10-5 ) and SCN1B (P = 2.76 × 10-4 ) modified the association of BMI on CRC risk for women; and PTPN2 modified the association between diabetes and CRC risk in both sexes (P = 2.31 × 10-5 ). CONCLUSIONS: Aggregating G × E interactions and incorporating functional information, we discovered novel genes that may interact with BMI and diabetes on CRC risk.
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- 2020
16. Circulating bilirubin levels and risk of colorectal cancer: serological and Mendelian randomization analyses
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Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, Freisling, H, Seyed Khoei, N, Jenab, M, Murphy, N, Banbury, BL, Carreras-Torres, R, Viallon, V, Kuehn, T, Bueno-de-Mesquita, B, Aleksandrova, K, Cross, AJ, Weiderpass, E, Stepien, M, Bulmer, A, Tjonneland, A, Boutron-Ruault, M-C, Severi, G, Carbonnel, F, Katzke, V, Boeing, H, Bergmann, MM, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Palli, D, Tagliabue, G, Panico, S, Tumino, R, Sacerdote, C, Skeie, G, Merino, S, Bonet, C, Rodriguez-Barranco, M, Gil, L, Chirlaque, M-D, Ardanaz, E, Myte, R, Hultdin, J, Perez-Cornago, A, Aune, D, Tsilidis, K, Albanes, Baron, JA, Berndt, SI, Bezieau, S, Brenner, H, Campbell, PT, Casey, G, Chan, AT, Chang-Claude, J, Chanock, SJ, Cotterchio, M, Gallinger, S, Gruber, SB, Haile, RW, Hampe, J, Hoffmeister, M, Hopper, JL, Hsu, L, Huyghe, JR, Jenkins, MA, Joshi, AD, Kampman, E, Larsson, SC, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Lindor, NM, Martin, V, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Parfrey, PS, Pharoah, PDP, Rennert, G, Sakoda, LC, Schafmayer, C, Schmit, SL, Schoen, RE, Slattery, ML, Thibodeau, SN, Ulrich, CM, van Duijnhoven, FJB, Weigl, K, Weinstein, SJ, White, E, Wolk, A, Woods, MO, Wu, AH, Zhang, X, Ferrari, P, Anton, G, Peters, A, Peters, U, Gunter, MJ, Wagner, K-H, and Freisling, H
- Abstract
BACKGROUND: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. METHODS: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. RESULTS: The associations between circulating UCB levels and CRC risk differed by sex (Pheterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, we
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- 2020
17. Postmenopausal Hormone Therapy and Colorectal Cancer Risk by Molecularly Defined Subtypes and Tumor Location
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Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, Newcomb, PA, Labadie, JD, Harrison, TA, Banbury, B, Amtay, EL, Bernd, S, Brenner, H, Buchanan, DD, Campbell, PT, Cao, Y, Chan, AT, Chang-Claude, J, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gunter, MJ, Hoffmeister, M, Hsu, L, Jenkins, MA, Lin, Y, Milne, RL, Moreno, V, Murphy, N, Ogino, S, Phipps, A, Sakoda, LC, Slattery, ML, Southey, MC, Sun, W, Thibodeau, SN, Van Guelpen, B, Zaidi, SH, Peters, U, and Newcomb, PA
- Abstract
BACKGROUND: Postmenopausal hormone therapy (HT) is associated with a decreased colorectal cancer (CRC) risk. As CRC is a heterogeneous disease, we evaluated whether the association of HT and CRC differs across etiologically relevant, molecularly defined tumor subtypes and tumor location. METHODS: We pooled data on tumor subtypes (microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, pathway: adenoma-carcinoma, alternate, serrated), tumor location (proximal colon, distal colon, rectum), and HT use among 8220 postmenopausal women (3898 CRC cases and 4322 controls) from 8 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CIs) for the association of ever vs never HT use with each tumor subtype compared with controls. Models were adjusted for study, age, body mass index, smoking status, and CRC family history. All statistical tests were 2-sided. RESULTS: Among postmenopausal women, ever HT use was associated with a 38% reduction in overall CRC risk (OR =0.62, 95% CI = 0.56 to 0.69). This association was similar according to microsatellite instability, CpG island methylator phenotype and BRAF or KRAS status. However, the association was attenuated for tumors arising through the serrated pathway (OR = 0.81, 95% CI = 0.66 to 1.01) compared with the adenoma-carcinoma pathway (OR = 0.63, 95% CI = 0.55 to 0.73; P het =.04) and alternate pathway (OR = 0.61, 95% CI = 0.51 to 0.72). Additionally, proximal colon tumors had a weaker association (OR = 0.71, 95% CI = 0.62 to 0.80) compared with rectal (OR = 0.54, 95% CI = 0.46 to 0.63) and distal colon (OR = 0.57, 95% CI = 0.49 to 0.66; P het =.01) tumors. CONCLUSIONS: We observed a strong inverse association between HT use and overall CRC risk, which may predominantly reflect a benefit of HT use for tumors arising through the adenoma-carcinoma and alternate pathways as well as distal colon and rectal tumors.
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- 2020
18. Genetic Predictors of Circulating 25-Hydroxyvitamin D and Prognosis after Colorectal Cancer.
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Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, Chang-Claude, J, Neumeyer, S, Butterbach, K, Banbury, BL, Berndt, SI, Campbell, PT, Chlebowski, RT, Chan, AT, Giovannucci, EL, Joshi, AD, Ogino, S, Song, M, McCullough, ML, Maalmi, H, Manson, JE, Sakoda, LC, Schoen, RE, Slattery, ML, White, E, Win, AK, Figueiredo, JC, Hopper, JL, Macrae, FA, Peters, U, Brenner, H, Hoffmeister, M, Newcomb, PA, and Chang-Claude, J
- Abstract
Background: Low serum 25-hydroxyvitamin D [25(OH)D] concentrations in patients with colorectal cancer have been consistently associated with higher mortality in observational studies. It is unclear whether low 25(OH)D levels directly influence colorectal cancer mortality. To minimize bias, we use genetic variants associated with vitamin D levels to evaluate the association with overall and colorectal cancer–specific survival. Methods: Six genetic variants have been robustly identified to be associated with 25(OH)D levels in genome-wide association studies. On the basis of data from the International Survival Analysis in Colorectal Cancer Consortium, the individual genetic variants and a weighted genetic risk score were tested for association with overall and colorectal cancer–specific survival using Cox proportional hazards models in 7,657 patients with stage I to IV colorectal cancer, of whom 2,438 died from any cause and 1,648 died from colorectal cancer. Results: The 25(OH)D decreasing allele of SNP rs2282679 (GC gene, encodes group-specific component/vitamin D–binding protein) was associated with poorer colorectal cancer–specific survival, although not significant after multiple-testing correction. None of the other five SNPs showed an association. The genetic risk score showed nonsignificant associations with increased overall [HR = 1.54; confidence interval (CI), 0.86–2.78] and colorectal cancer–specific mortality (HR = 1.76; 95% CI, 0.86–3.58). A significant increased risk of overall mortality was observed in women (HR = 3.26; 95% CI, 1.45–7.33; Pheterogeneity = 0.01) and normal-weight individuals (HR = 4.14; 95% CI, 1.50–11.43, Pheterogeneity = 0.02). Conclusions: Our results provided little evidence for an association of genetic predisposition of lower vitamin D levels with increased overall or colorectal cancer–specific survival, although power might have been an issue.
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- 2020
19. Adiposity, metabolites, and colorectal cancer risk: Mendelian randomization study
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Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, Gunter, MJ, Bull, CJ, Bell, JA, Murphy, N, Sanderson, E, Davey Smith, G, Timpson, NJ, Banbury, BL, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Burnett-Hartman, A, Casey, G, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Cross, AJ, de la Chapelle, A, Figueiredo, JC, Gallinger, SJ, Gapstur, SM, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Joshu, CE, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, May, AM, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Quiros, JR, Rennert, G, Riboli, E, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Tsilidis, KK, Ulrich, CM, van Duijnhoven, FJB, van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Campbell, PT, Zheng, W, Peters, U, Vincent, EE, and Gunter, MJ
- Abstract
BACKGROUND: Higher adiposity increases the risk of colorectal cancer (CRC), but whether this relationship varies by anatomical sub-site or by sex is unclear. Further, the metabolic alterations mediating the effects of adiposity on CRC are not fully understood. METHODS: We examined sex- and site-specific associations of adiposity with CRC risk and whether adiposity-associated metabolites explain the associations of adiposity with CRC. Genetic variants from genome-wide association studies of body mass index (BMI) and waist-to-hip ratio (WHR, unadjusted for BMI; N = 806,810), and 123 metabolites from targeted nuclear magnetic resonance metabolomics (N = 24,925), were used as instruments. Sex-combined and sex-specific Mendelian randomization (MR) was conducted for BMI and WHR with CRC risk (58,221 cases and 67,694 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry). Sex-combined MR was conducted for BMI and WHR with metabolites, for metabolites with CRC, and for BMI and WHR with CRC adjusted for metabolite classes in multivariable models. RESULTS: In sex-specific MR analyses, higher BMI (per 4.2 kg/m2) was associated with 1.23 (95% confidence interval (CI) = 1.08, 1.38) times higher CRC odds among men (inverse-variance-weighted (IVW) model); among women, higher BMI (per 5.2 kg/m2) was associated with 1.09 (95% CI = 0.97, 1.22) times higher CRC odds. WHR (per 0.07 higher) was more strongly associated with CRC risk among women (IVW OR = 1.25, 95% CI = 1.08, 1.43) than men (IVW OR = 1.05, 95% CI = 0.81, 1.36). BMI or WHR was associated with 104/123 metabolites at false discovery rate-corrected P ≤ 0.05; several metabolites were associated with CRC, but not in directions that were consistent with the mediation of positive adiposity-CRC relations. In multivariable MR analyses, associations of BMI and WHR with CRC were not attenuated following adjustment for representative meta
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- 2020
20. Circulating Levels of Insulin-like Growth Factor 1 and Insulin-like Growth Factor Binding Protein 3 Associate With Risk of Colorectal Cancer Based on Serologic and Mendelian Randomization Analyses
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Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, Gunter, MJ, Murphy, N, Carreras-Torres, R, Song, M, Chan, AT, Martin, RM, Papadimitriou, N, Dimou, N, Tsilidis, KK, Banbury, B, Bradbury, KE, Besevic, J, Rinaldi, S, Riboli, E, Cross, AJ, Travis, RC, Agnoli, C, Albanes, D, Berndt, SI, Bezieau, S, Bishop, DT, Brenner, H, Buchanan, DD, Onland-Moret, NC, Burnett-Hartman, A, Campbell, PT, Casey, G, Castellvi-Bel, S, Chang-Claude, J, Chirlaque, M-D, de la Chapelle, A, English, D, Figueiredo, JC, Gallinger, SJ, Giles, GG, Gruber, SB, Gsur, A, Hampe, J, Hampel, H, Harrison, TA, Hoffmeister, M, Hsu, L, Huang, W-Y, Huyghe, JR, Jenkins, MA, Keku, TO, Kuhn, T, Kweon, S-S, Le Marchand, L, Li, CI, Li, L, Lindblom, A, Martin, V, Milne, RL, Moreno, V, Newcomb, PA, Offit, K, Ogino, S, Ose, J, Perduca, V, Phipps, AI, Platz, EA, Potter, JD, Qu, C, Rennert, G, Sakoda, LC, Schafmayer, C, Schoen, RE, Slattery, ML, Tangen, CM, Ulrich, CM, van Duijnhoven, FJB, Van Guelpen, B, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Wang, H, White, E, Wolk, A, Woods, MO, Wu, AH, Zheng, W, Peters, U, and Gunter, MJ
- Abstract
BACKGROUND & AIMS: Human studies examining associations between circulating levels of insulin-like growth factor 1 (IGF1) and insulin-like growth factor binding protein 3 (IGFBP3) and colorectal cancer risk have reported inconsistent results. We conducted complementary serologic and Mendelian randomization (MR) analyses to determine whether alterations in circulating levels of IGF1 or IGFBP3 are associated with colorectal cancer development. METHODS: Serum levels of IGF1 were measured in blood samples collected from 397,380 participants from the UK Biobank, from 2006 through 2010. Incident cancer cases and cancer cases recorded first in death certificates were identified through linkage to national cancer and death registries. Complete follow-up was available through March 31, 2016. For the MR analyses, we identified genetic variants associated with circulating levels of IGF1 and IGFBP3. The association of these genetic variants with colorectal cancer was examined with 2-sample MR methods using genome-wide association study consortia data (52,865 cases with colorectal cancer and 46,287 individuals without [controls]) RESULTS: After a median follow-up period of 7.1 years, 2665 cases of colorectal cancer were recorded. In a multivariable-adjusted model, circulating level of IGF1 associated with colorectal cancer risk (hazard ratio per 1 standard deviation increment of IGF1, 1.11; 95% confidence interval [CI] 1.05-1.17). Similar associations were found by sex, follow-up time, and tumor subsite. In the MR analyses, a 1 standard deviation increment in IGF1 level, predicted based on genetic factors, was associated with a higher risk of colorectal cancer risk (odds ratio 1.08; 95% CI 1.03-1.12; P = 3.3 × 10-4). Level of IGFBP3, predicted based on genetic factors, was associated with colorectal cancer risk (odds ratio per 1 standard deviation increment, 1.12; 95% CI 1.06-1.18; P = 4.2 × 10-5). Colorectal cancer risk was associated with only 1 variant in the IGFBP3 gene regi
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- 2020
21. Discovery of common and rare genetic risk variants for colorectal cancer
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Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, Peters, U, Huyghe, JR, Bien, SA, Harrison, TA, Kang, HM, Chen, S, Schmit, SL, Conti, DV, Qu, C, Jeon, J, Edlund, CK, Greenside, P, Wainberg, M, Schumacher, FR, Smith, JD, Levine, DM, Nelson, SC, Sinnott-Armstrong, NA, Albanes, D, Alonso, MH, Anderson, K, Arnau-Collell, C, Arndt, V, Bamia, C, Banbury, BL, Baron, JA, Berndt, SI, Bezieau, S, Bishop, DT, Boehm, J, Boeing, H, Brenner, H, Brezina, S, Buch, S, Buchanan, DD, Burnett-Hartman, A, Butterbach, K, Caan, BJ, Campbell, PT, Carlson, CS, Castellvi-Bel, S, Chan, AT, Chang-Claude, J, Chanock, SJ, Chirlaque, M-D, Cho, SH, Connolly, CM, Cross, AJ, Cuk, K, Curtis, KR, de la Chapelle, A, Doheny, KF, Duggan, D, Easton, DF, Elias, SG, Elliott, F, English, DR, Feskens, EJM, Figueiredo, JC, Fischer, R, FitzGerald, LM, Forman, D, Gala, M, Gallinger, S, Gauderman, WJ, Giles, GG, Gillanders, E, Gong, J, Goodman, PJ, Grady, WM, Grove, JS, Gsur, A, Gunter, MJ, Haile, RW, Hampe, J, Hampel, H, Harlid, S, Hayes, RB, Hofer, P, Hoffmeister, M, Hopper, JL, Hsu, W-L, Huang, W-Y, Hudson, TJ, Hunter, DJ, Ibanez-Sanz, G, Idos, GE, Ingersoll, R, Jackson, RD, Jacobs, EJ, Jenkins, MA, Joshi, AD, Joshu, CE, Keku, TO, Key, TJ, Kim, HR, Kobayashi, E, Kolonel, LN, Kooperberg, C, Kuehn, T, Kury, S, Kweon, S-S, Larsson, SC, Laurie, CA, Le Marchand, L, Leal, SM, Lee, SC, Lejbkowicz, F, Lemire, M, Li, CI, Li, L, Lieb, W, Lin, Y, Lindblom, A, Lindor, NM, Ling, H, Louie, TL, Mannisto, S, Markowitz, SD, Martin, V, Masala, G, McNeil, CE, Melas, M, Milne, RL, Moreno, L, Murphy, N, Myte, R, Naccarati, A, Newcomb, PA, Offit, K, Ogino, S, Onland-Moret, NC, Pardini, B, Parfrey, PS, Pearlman, R, Perduca, V, Pharoah, PDP, Pinchev, M, Platz, EA, Prentice, RL, Pugh, E, Raskin, L, Rennert, G, Rennert, HS, Riboli, E, Rodriguez-Barranco, M, Romm, J, Sakoda, LC, Schafmayer, C, Schoen, RE, Seminara, D, Shah, M, Shelford, T, Shin, M-H, Shulman, K, Sieri, S, Slattery, ML, Southey, MC, Stadler, ZK, Stegmaier, C, Su, Y-R, Tangen, CM, Thibodeau, SN, Thomas, DC, Thomas, SS, Toland, AE, Trichopoulou, A, Ulrich, CM, Van den Berg, DJ, van Duijnhoven, FJB, Van Guelpen, B, van Kranen, H, Vijai, J, Visvanathan, K, Vodicka, P, Vodickova, L, Vymetalkova, V, Weigl, K, Weinstein, SJ, White, E, Win, AK, Wolf, CR, Wolk, A, Woods, MO, Wu, AH, Zaidi, SH, Zanke, BW, Zhang, Q, Zheng, W, Scacheri, PC, Potter, JD, Bassik, MC, Kundaje, A, Casey, G, Moreno, V, Abecasis, GR, Nickerson, DA, Gruber, SB, Hsu, L, and Peters, U
- Abstract
To further dissect the genetic architecture of colorectal cancer (CRC), we performed whole-genome sequencing of 1,439 cases and 720 controls, imputed discovered sequence variants and Haplotype Reference Consortium panel variants into genome-wide association study data, and tested for association in 34,869 cases and 29,051 controls. Findings were followed up in an additional 23,262 cases and 38,296 controls. We discovered a strongly protective 0.3% frequency variant signal at CHD1. In a combined meta-analysis of 125,478 individuals, we identified 40 new independent signals at P < 5 × 10-8, bringing the number of known independent signals for CRC to ~100. New signals implicate lower-frequency variants, Krüppel-like factors, Hedgehog signaling, Hippo-YAP signaling, long noncoding RNAs and somatic drivers, and support a role for immune function. Heritability analyses suggest that CRC risk is highly polygenic, and larger, more comprehensive studies enabling rare variant analysis will improve understanding of biology underlying this risk and influence personalized screening strategies and drug development.
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- 2019
22. Body size, dairy consumption, puberty, and risk of testicular germ cell tumors.
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McGlynn KA, Sakoda LC, Rubertone MV, Sesterhenn IA, Lyu C, Graubard BI, and Erickson RL
- Abstract
The etiology of testicular germ cell tumors (TGCTs) is poorly understood, with cryptorchidism and family history being the only well-established risk factors. Body size, age at puberty, and dairy consumption, however, have been suggested to be related to TGCTs. To clarify the relation of these variables to TGCT risk and to one another, the authors analyzed data from 767 cases and 928 controls enrolled in the Servicemen's Testicular Tumor Environmental and Endocrine Determinants Study (2002-2005). Overall, increased height was significantly related to risk (odds ratio (OR) = 1.83, 95% confidence interval (CI): 1.36, 2.45), though body mass index was not (OR = 1.06, 95% CI: 0.66, 1.69). There was no association with age at puberty, based on ages at first shaving (OR = 1.29, 95% CI: 0.96, 1.73), voice changing (OR = 0.97, 95% CI: 0.71, 1.32), and nocturnal emissions (OR = 1.00, 95% CI: 0.73, 1.37). Similarly, there was no relation with dairy consumption at any age between birth and 12th grade. These results suggest that height is a risk factor for TGCTs, but the relation is unlikely explained by childhood dairy consumption. As adult height is largely determined in the first 2 years of life, increased attention to events in this interval may help elucidate the etiology of TGCTs. [ABSTRACT FROM AUTHOR]
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- 2007
23. Characterization of additive gene-environment interactions for colorectal cancer risk.
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Thomas CE, Lin Y, Kim M, Kawaguchi ES, Qu C, Um CY, Lynch BM, Van Guelpen B, Tsilidis K, Carreras-Torres R, van Duijnhoven FJ, Sakoda LC, Campbell PT, Tian Y, Chang-Claude J, Bézieau S, Budiarto A, Palmer JR, Newcomb PA, Casey G, Le Marchand L, Giannakis M, Li CI, Gsur A, Newton C, Obón-Santacana M, Moreno V, Vodicka P, Brenner H, Hoffmeister M, Pellatt AJ, Schoen RE, Dimou N, Murphy N, Gunter MJ, Castellví-Bel S, Figueiredo JC, Chan AT, Song M, Li L, Bishop DT, Gruber SB, Baurley JW, Bien SA, Conti DV, Huyghe JR, Kundaje A, Su YR, Wang J, Keku TO, Woods MO, Berndt SI, Chanock SJ, Tangen CM, Wolk A, Burnett-Hartman A, Wu AH, White E, Devall MA, Díez-Obrero V, Drew DA, Giovannucci E, Hidaka A, Kim AE, Lewinger JP, Morrison J, Ose J, Papadimitriou N, Pardamean B, Peoples AR, Ruiz-Narvaez EA, Shcherbina A, Stern MC, Chen X, Thomas DC, Platz EA, Gauderman WJ, Peters U, and Hsu L
- Abstract
Background: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure., Methods: Using resources from colorectal cancer consortia including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score including 141 variants associated with CRC risk., Results: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking [RERI = 0.24, 95% confidence interval, CI, (0.13, 0.36)], ever smoking [0.11 (0.05, 0.16)], high BMI [female 0.09 (0.05, 0.13), male 0.10 (0.05, 0.14)], or high red meat intake [highest versus lowest quartile 0.18 (0.09, 0.27)] was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/NSAID use [-0.16 (-0.20, -0.11)] or higher intake of fruit, fiber, or calcium [highest quartile versus lowest quartile -0.12 (-0.18, -0.050); -0.16 (-0.23, -0.09); -0.11 (-0.18, -0.05), respectively] than those with average genetic susceptibility., Conclusions: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention., Competing Interests: Conflict of Interest: SB Gruber: Brogent International LLC, co-founder, not related to submitted work. All other authors do not have any conflicts of interest to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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24. The American Cancer Society National Lung Cancer Roundtable strategic plan: Lung cancer in women.
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Backhus LM, Chang CF, Sakoda LC, Chambers SR, Henderson LM, Henschke CI, Hollenbeck GJ, Jacobson FL, Martin LW, Proctor ED, Schiller JH, Siegfried JM, Wisnivesky JP, Wolf AS, Jemal A, Kelly K, Sandler KL, Watkins PN, Smith RA, and Rivera MP
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Lung cancer in women is a modern epidemic and represents a global health crisis. Cigarette smoking remains the most important risk factor for lung cancer in all patients and, among women globally, rates of smoking continue to increase. Although some data exist supporting sex-based differences across the continuum of lung cancer, there is currently a dearth of research exploring the differences in risk, biology, and treatment outcomes in women. Consequently, the American Cancer Society National Lung Cancer Roundtable recognizes the urgent need to promote awareness and future research that will close the knowledge gaps regarding lung cancer in women. To this end, the American Cancer Society National Lung Cancer Roundtable Task Group on Lung Cancer in Women convened a summit undertaking the following to: (1) summarize existing evidence and identify knowledge gaps surrounding the epidemiology, risk factors, biologic differences, and outcomes of lung cancer in women; (2) develop and prioritize research topics and questions that address research gaps and advance knowledge to improve quality of care of lung cancer in women; and (3) propose strategies for future research. PLAIN LANGUAGE SUMMARY: Lung cancer is the leading cause of cancer mortality in women, and, despite comparatively lower exposures to occupational and environmental carcinogens compared with men, disproportionately higher lung cancer rates in women who ever smoked and women who never smoked call for increased awareness and research that will close the knowledge gaps regarding lung cancer in women., (© 2024 The Author(s). Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)
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- 2024
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25. Function, cognition, and quality of life among older adults with lung cancer who live alone: A prospective cohort study.
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Singhal S, Walter LC, Smith AK, Boscardin WJ, Shi Y, Cohen HJ, Presley CJ, Kushi LH, Giri S, Magnuson A, Williams GR, Velazquez AI, Lee HJ Jr, Sakoda LC, Quesenberry CP, Falvey JR, Van Dyk KM, and Wong ML
- Abstract
Introduction: Among older adults without cancer, living alone is associated with poor health outcomes. However, among older adults with non-small cell lung cancer (NSCLC) who live alone, data on function, cognition, and quality of life (QOL) during systemic treatment remain limited., Materials and Methods: We enrolled adults aged ≥65 with advanced NSCLC starting a new chemotherapy, immunotherapy, and/or targeted therapy regimen with non-curative intent. Patients completed geriatric assessments including instrumental activities of daily living (IADL), Montreal Cognitive Assessment, and QOL pretreatment and at 1, 2, 4, and 6 months, or until treatment discontinuation, whichever occurred earlier. We categorized change in IADL, cognition, and QOL as stable/improved, declined with recovery, or declined without recovery using clinically meaningful definitions of change. We used multinomial logistic regression to compare change between patients who lived alone versus with others., Results: Among 149 patients, median age was 73; 21% lived alone. Pretreatment IADL, cognition, and QOL scores were similar between older adults who lived alone versus with others. During NSCLC treatment, older adults who lived alone had similar trajectories of function (52% functional decline vs 38%), cognition (43% cognitive decline vs 50%), and QOL (45% QOL decline vs 44%) compared with those who lived with others. In unadjusted analyses, patients who lived alone were more likely to develop functional decline with recovery (reference category: stable/improved function) than those who lived with others (relative risk ratio 4.07, 95% CI 1.14-14.6, p = 0.03). However, this association was not observed after adjusting for age, race, prior NSCLC treatment, current treatment group, and pretreatment geriatric assessment differences. There were no differences in cognitive or QOL trajectories in unadjusted or adjusted analyses., Discussion: Approximately half of older adults with advanced NSCLC who lived alone were able to maintain their function, cognition, and QOL during NSCLC treatment, which was similar to older adults who lived with others. Many older adults with advanced NSCLC who live alone can receive systemic treatment with individualized supportive care., Competing Interests: Declaration of Competing Interest SS reported conflicts of interest outside the submitted work (consultant/advisory to Oncohost). AIV reported conflicts of interest outside the submitted work (consultant/advisory to Merus and AstraZeneca). LCS has received research funding from AstraZeneca awarded directly to her institution. MLW reported conflicts of interest outside of the submitted work (royalties from UpToDate; immediate family member is an employee of Genentech with stock ownership). The remaining authors have no conflicts to report., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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26. Representativeness of Patients With Lung Cancer in an Integrated Health Care Delivery System.
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Yang MZ, Liu R, Von Behren J, Lin K, Adams AS, Kushi LH, Quesenberry CP Jr, Velotta JB, Wong ML, Young-Wolff KC, Gomez SL, Shariff-Marco S, and Sakoda LC
- Subjects
- Humans, Female, Male, California, Aged, Middle Aged, Registries, Electronic Health Records statistics & numerical data, Aged, 80 and over, Adult, Lung Neoplasms therapy, Delivery of Health Care, Integrated statistics & numerical data
- Abstract
Introduction: Observational research is important for understanding the real-world benefits of advancements in lung cancer care. Integrated health care systems, such as Kaiser Permanente Northern California, have extensive electronic health records suitable for such research, but the generalizability of their populations is often questioned., Methods: Leveraging data from the California Cancer Registry, the authors compared distributions of demographic and clinical characteristics, in addition to neighborhood and environmental conditions, between patients diagnosed with lung cancer from 2015 through 2019 at Kaiser Permanente Northern California, National Cancer Institute-designated cancer centers (NCICCs), and all other non-NCICC hospitals within the same catchment area., Results: Of 20,178 included patients, 30% were from Kaiser Permanente Northern California, 8% from NCICCs, and 62% from other non-NCICC hospitals. Compared to NCICC patients, Kaiser Permanente Northern California patients were more similar to other non-NCICC patients on most characteristics. Compared to other non-NCICC patients, Kaiser Permanente Northern California patients were slightly older, more likely to be female, and less likely to be Hispanic or Asian/Pacific Islander and to reside in lower socioeconomic status (SES) neighborhoods. In contrast, NCICC patients were younger, less likely to be female or from non-Asian/Pacific Islander minoritized racial groups, and more likely to present with early-stage disease and adenocarcinoma and to reside in neighborhoods with higher SES and lower air pollution than Kaiser Permanente Northern California or other non-NCICC patients., Discussion: Patients from Kaiser Permanente Northern California, compared to NCICCs, are more broadly representative of the underlying patient population with lung cancer., Conclusion: Research using electronic health record data from integrated health care systems can contribute generalizable real-world evidence to benchmark and improve lung cancer care., Competing Interests: Conflicts of Interest Drs Liu, Velotta, and Sakoda have received research funding from AstraZeneca that was awarded to their institution. Dr Wong reports conflicts of interest outside of this work (royalties from UpToDate; immediate family member is employed by Genentech with stock ownership). An earlier version of an abstract of this work was published for the 2023 American Society for Clinical Oncology (ASCO) Annual Meeting. Copyright for materials presented remains with the authors.
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- 2024
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27. Under-Representation and Under-Reporting of Minoritized Racial and Ethnic Groups in Clinical Trials on Immune Checkpoint Inhibitors.
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Chua AV Jr, Delmerico J, Sheng H, Huang XW, Liang E, Yan L, Gandhi S, Puzanov I, Jain P, Sakoda LC, Morrow GR, Ambrosone CB, Kamen C, and Yao S
- Abstract
Purpose: Minoritized racial/ethnic groups are historically under-represented in cancer clinical trials, which may be exacerbated in recent trials on immune checkpoint inhibitors (ICIs). We examined the representation and reporting of the racial/ethnic composition of participants in clinical trials on ICIs., Methods: We examined English full-text trials on ICIs published from 2007 to 2022. Information on trial characteristics and racial/ethnic composition of participants was extracted from published papers or ClinicalTrials.gov. Differences in participation by publication year, ICI agent, and cancer site were analyzed. Enrollment-incidence ratio (EIR) was calculated to compare the proportion of minoritized racial/ethnic group patients in US-based trials against age-adjusted cancer incidence data available for the US population. An EIR > 1 signified over-representation, whereas an EIR <1 signified under-representation., Results: Of the 471 trials examined, racial composition was unreported in 146 (31%), whereas Hispanic/Latinx ethnicity was unreported in 278 (59%). Only 30 (6%) trials reported race/ethnicity-specific results. In US-only trials (n = 174), White patients were over-represented (EIR, 1.20 [95% CI, 1.17 to 1.22]), whereas Hispanic/Latinx patients were the most under-represented (EIR, 0.35 [95% CI, 0.24 to 0.48]), followed by Black/African American patients (EIR, 0.66 [95% CI, 0.54 to 0.79]). Subgroup analyses consistently indicated over-representation of White patients across publication years (EIR, 1.19-1.24), ICI classes (EIR, 1.16-1.23), and cancer sites (EIR, 1.11-1.31), whereas Hispanic/Latinx patients were consistently under-represented. An upward trend of trial representation and reporting was observed for all minoritized racial/ethnic groups over time (trend P values ≤.05)., Conclusion: Disparities in the representation and reporting of minoritized racial/ethnic groups persist in recent trials on ICIs, necessitating collaborative efforts for improved diversity and equitable cancer treatment access.
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- 2024
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28. Genetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk.
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Tian Y, Lin Y, Qu C, Arndt V, Baurley JW, Berndt SI, Bien SA, Bishop DT, Brenner H, Buchanan DD, Budiarto A, Campbell PT, Carreras-Torres R, Casey G, Chan AT, Chen R, Chen X, Conti DV, Díez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gunter MJ, Harlid S, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Joshi AD, Keku TO, Kawaguchi E, Kim AE, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Moreno V, Morrison J, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez EA, Sakoda LC, Schoen RE, Shcherbina A, Stern MC, Su YR, Thibodeau SN, Thomas DC, Tsilidis KK, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, White E, Wolk A, Woods MO, Wu AH, Peters U, Gauderman WJ, Hsu L, and Chang-Claude J
- Subjects
- Humans, Female, Middle Aged, Case-Control Studies, Risk Factors, Aged, Hormone Replacement Therapy adverse effects, Risk Assessment, Menopause, Postmenopause, Estrogen Replacement Therapy adverse effects, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Genetic Predisposition to Disease
- Abstract
Background: Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk., Methods: We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated., Results: The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10
-8 ). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14 ); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3 ), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk., Conclusions: MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use., (© 2024. The Author(s).)- Published
- 2024
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29. Two genome-wide interaction loci modify the association of nonsteroidal anti-inflammatory drugs with colorectal cancer.
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Drew DA, Kim AE, Lin Y, Qu C, Morrison J, Lewinger JP, Kawaguchi E, Wang J, Fu Y, Zemlianskaia N, Díez-Obrero V, Bien SA, Dimou N, Albanes D, Baurley JW, Wu AH, Buchanan DD, Potter JD, Prentice RL, Harlid S, Arndt V, Barry EL, Berndt SI, Bouras E, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Chang-Claude J, Conti DV, Devall MAM, Figueiredo JC, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kundaje A, Le Marchand L, Li L, Lynch BM, Murphy N, Nassir R, Newcomb PA, Newton CC, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Stern MC, Su YR, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, Um CY, van Duijnhoven FJB, Van Guelpen B, White E, Hsu L, Moreno V, Peters U, Chan AT, and Gauderman WJ
- Subjects
- Humans, Aspirin pharmacology, Receptors, Prostaglandin E, EP4 Subtype genetics, Receptors, Prostaglandin E, EP4 Subtype metabolism, Male, Genetic Predisposition to Disease, Female, Case-Control Studies, Middle Aged, Genetic Loci, Aged, Colorectal Neoplasms genetics, Colorectal Neoplasms drug therapy, Anti-Inflammatory Agents, Non-Steroidal pharmacology, Genome-Wide Association Study, Polymorphism, Single Nucleotide
- Abstract
Regular, long-term aspirin use may act synergistically with genetic variants, particularly those in mechanistically relevant pathways, to confer a protective effect on colorectal cancer (CRC) risk. We leveraged pooled data from 52 clinical trial, cohort, and case-control studies that included 30,806 CRC cases and 41,861 controls of European ancestry to conduct a genome-wide interaction scan between regular aspirin/nonsteroidal anti-inflammatory drug (NSAID) use and imputed genetic variants. After adjusting for multiple comparisons, we identified statistically significant interactions between regular aspirin/NSAID use and variants in 6q24.1 (top hit rs72833769 ), which has evidence of influencing expression of TBC1D7 (a subunit of the TSC1-TSC2 complex, a key regulator of MTOR activity), and variants in 5p13.1 (top hit rs350047 ), which is associated with expression of PTGER4 (codes a cell surface receptor directly involved in the mode of action of aspirin). Genetic variants with functional impact may modulate the chemopreventive effect of regular aspirin use, and our study identifies putative previously unidentified targets for additional mechanistic interrogation.
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- 2024
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30. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes.
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Chen Z, Guo X, Tao R, Huyghe JR, Law PJ, Fernandez-Rozadilla C, Ping J, Jia G, Long J, Li C, Shen Q, Xie Y, Timofeeva MN, Thomas M, Schmit SL, Díez-Obrero V, Devall M, Moratalla-Navarro F, Fernandez-Tajes J, Palles C, Sherwood K, Briggs SEW, Svinti V, Donnelly K, Farrington SM, Blackmur J, Vaughan-Shaw PG, Shu XO, Lu Y, Broderick P, Studd J, Harrison TA, Conti DV, Schumacher FR, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper JL, Jenkins MA, Win AK, Pai RK, Figueiredo JC, Haile RW, Gallinger S, Woods MO, Newcomb PA, Duggan D, Cheadle JP, Kaplan R, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin JP, Jousilahti P, Knekt P, Aaltonen LA, Rissanen H, Pukkala E, Eriksson JG, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Männistö S, Albanes D, Weinstein SJ, Ruiz-Narvaez E, Palmer JR, Buchanan DD, Platz EA, Visvanathan K, Ulrich CM, Siegel E, Brezina S, Gsur A, Campbell PT, Chang-Claude J, Hoffmeister M, Brenner H, Slattery ML, Potter JD, Tsilidis KK, Schulze MB, Gunter MJ, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Bishop DT, Giles GG, Southey MC, Idos GE, McDonnell KJ, Abu-Ful Z, Greenson JK, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku TO, van Guelpen B, Hudson TJ, Hampel H, Pearlman R, Berndt SI, Hayes RB, Martinez ME, Thomas SS, Pharoah PDP, Larsson SC, Yen Y, Lenz HJ, White E, Li L, Doheny KF, Pugh E, Shelford T, Chan AT, Cruz-Correa M, Lindblom A, Hunter DJ, Joshi AD, Schafmayer C, Scacheri PC, Kundaje A, Schoen RE, Hampe J, Stadler ZK, Vodicka P, Vodickova L, Vymetalkova V, Edlund CK, Gauderman WJ, Shibata D, Toland A, Markowitz S, Kim A, Chanock SJ, van Duijnhoven F, Feskens EJM, Sakoda LC, Gago-Dominguez M, Wolk A, Pardini B, FitzGerald LM, Lee SC, Ogino S, Bien SA, Kooperberg C, Li CI, Lin Y, Prentice R, Qu C, Bézieau S, Yamaji T, Sawada N, Iwasaki M, Le Marchand L, Wu AH, Qu C, McNeil CE, Coetzee G, Hayward C, Deary IJ, Harris SE, Theodoratou E, Reid S, Walker M, Ooi LY, Lau KS, Zhao H, Hsu L, Cai Q, Dunlop MG, Gruber SB, Houlston RS, Moreno V, Casey G, Peters U, Tomlinson I, and Zheng W
- Subjects
- Humans, Exome Sequencing, Case-Control Studies, Transcriptome, Chromosome Mapping, Male, Female, East Asian People, Colorectal Neoplasms genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, Asian People genetics, White People genetics, Polymorphism, Single Nucleotide, Quantitative Trait Loci
- Abstract
Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV. Our cis-eQTL/mQTL and colocalization analyses using colorectal tissue-specific transcriptome and methylome data separately from 1299 and 321 individuals, along with functional genomic investigation, uncovered 136 putative CRC susceptibility genes, including 56 genes not previously reported. Analyses of single-cell RNA-seq data from colorectal tissues revealed 17 putative CRC susceptibility genes with distinct expression patterns in specific cell types. Analyses of whole exome sequencing data provided additional support for several target genes identified in this study as CRC susceptibility genes. Enrichment analyses of the 136 genes uncover pathways not previously linked to CRC risk. Our study substantially expanded association signals for CRC and provided additional insight into the biological mechanisms underlying CRC development., (© 2024. The Author(s).)
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- 2024
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31. Leisure time television watching, computer use and risks of breast, colorectal and prostate cancer: A Mendelian randomisation analysis.
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Papadimitriou N, Kazmi N, Dimou N, Tsilidis KK, Martin RM, Lewis SJ, Lynch BM, Hoffmeister M, Kweon SS, Li L, Milne RL, Sakoda LC, Schoen RE, Phipps AI, Figueiredo JC, Peters U, Dixon-Suen SC, Gunter MJ, and Murphy N
- Subjects
- Humans, Male, Female, Computers statistics & numerical data, Genome-Wide Association Study, Leisure Activities, Risk Factors, Prostatic Neoplasms genetics, Prostatic Neoplasms epidemiology, Prostatic Neoplasms etiology, Television statistics & numerical data, Breast Neoplasms genetics, Breast Neoplasms epidemiology, Breast Neoplasms etiology, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology, Colorectal Neoplasms etiology, Mendelian Randomization Analysis, Sedentary Behavior
- Abstract
Background: Sedentary behaviours have been associated with increased risks of some common cancers in epidemiological studies; however, it is unclear if these associations are causal., Methods: We used univariable and multivariable two-sample Mendelian randomisation (MR) to examine potential causal relationships between sedentary behaviours and risks of breast, colorectal and prostate cancer. Genetic variants associated with self-reported leisure television watching and computer use were identified from a recent genome-wide association study (GWAS). Data related to cancer risk were obtained from cancer GWAS consortia. A series of sensitivity analyses were applied to examine the robustness of the results to the presence of confounding., Results: A 1-standard deviation (SD: 1.5 h/day) increment in hours of television watching increased risk of breast cancer (OR per 1-SD: 1.15, 95% confidence interval [CI]: 1.05-1.26) and colorectal cancer (OR per 1-SD: 1.32, 95% CI: 1.16-1.49) while there was little evidence of an association for prostate cancer risk (OR per 1-SD: 0.94, 95% CI: 0.84-1.06). After adjusting for years of education, the effect estimates for television watching were attenuated (breast cancer, OR per 1-SD: 1.08, 95% CI: 0.92-1.27; colorectal cancer, OR per 1-SD: 1.08, 95% CI: 0.90-1.31). Post hoc analyses showed that years of education might have a possible confounding and mediating role in the association between television watching with breast and colorectal cancer. Consistent results were observed for each cancer site according to sex (colorectal cancer), anatomical subsites and cancer subtypes. There was little evidence of associations between genetically predicted computer use and cancer risk., Conclusions: Our univariable analysis identified some positive associations between hours of television watching and risks of breast and colorectal cancer. However, further adjustment for additional lifestyle factors especially years of education attenuated these results. Future studies using objective measures of exposure can provide new insights into the possible role of sedentary behaviour in cancer development., (© 2023 World Health Organization; licensed by John Wiley & Sons Ltd. Cancer Medicine published by John Wiley & Sons Ltd.)
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- 2024
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32. Risk-Stratified Screening for Colorectal Cancer Using Genetic and Environmental Risk Factors: A Cost-Effectiveness Analysis Based on Real-World Data.
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van den Puttelaar R, Meester RGS, Peterse EFP, Zauber AG, Zheng J, Hayes RB, Su YR, Lee JK, Thomas M, Sakoda LC, Li Y, Corley DA, Peters U, Hsu L, and Lansdorp-Vogelaar I
- Subjects
- Humans, Middle Aged, Adult, Aged, Aged, 80 and over, Cost-Benefit Analysis, Early Detection of Cancer methods, Colonoscopy, Mass Screening methods, Cost-Effectiveness Analysis, Colorectal Neoplasms epidemiology
- Abstract
Background & Aims: Previous studies on the cost-effectiveness of personalized colorectal cancer (CRC) screening were based on hypothetical performance of CRC risk prediction and did not consider the association with competing causes of death. In this study, we estimated the cost-effectiveness of risk-stratified screening using real-world data for CRC risk and competing causes of death., Methods: Risk predictions for CRC and competing causes of death from a large community-based cohort were used to stratify individuals into risk groups. A microsimulation model was used to optimize colonoscopy screening for each risk group by varying the start age (40-60 years), end age (70-85 years), and screening interval (5-15 years). The outcomes included personalized screening ages and intervals and cost-effectiveness compared with uniform colonoscopy screening (ages 45-75, every 10 years). Key assumptions were varied in sensitivity analyses., Results: Risk-stratified screening resulted in substantially different screening recommendations, ranging from a one-time colonoscopy at age 60 for low-risk individuals to a colonoscopy every 5 years from ages 40 to 85 for high-risk individuals. Nevertheless, on a population level, risk-stratified screening would increase net quality-adjusted life years gained (QALYG) by only 0.7% at equal costs to uniform screening or reduce average costs by 1.2% for equal QALYG. The benefit of risk-stratified screening improved when it was assumed to increase participation or costs less per genetic test., Conclusions: Personalized screening for CRC, accounting for competing causes of death risk, could result in highly tailored individual screening programs. However, average improvements across the population in QALYG and cost-effectiveness compared with uniform screening are small., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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33. Clinical Adjuncts to Lung Cancer Screening: A Narrative Review.
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Susai CJ, Velotta JB, and Sakoda LC
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- Adult, Humans, Mass Screening, Early Detection of Cancer, Lung Neoplasms diagnosis
- Abstract
The updated US Preventive Services Task Force guidelines on lung cancer screening have significantly expanded the population of screening eligible adults, among whom the balance of benefits and harms associated with lung cancer screening vary considerably. Clinical adjuncts are additional information and tools that can guide decision-making to optimally screen individuals who are most likely to benefit. Proposed adjuncts include integration of clinical history, risk prediction models, shared-decision-making tools, and biomarker tests at key steps in the screening process. Although evidence regarding their clinical utility and implementation is still evolving, they carry significant promise in optimizing screening effectiveness and efficiency for lung cancer., (Copyright © 2023 Elsevier Inc. All rights reserved.)
- Published
- 2023
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34. Genome-wide interaction analysis of folate for colorectal cancer risk.
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Bouras E, Kim AE, Lin Y, Morrison J, Du M, Albanes D, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop TD, Brenner H, Budiarto A, Burnett-Hartman A, Campbell PT, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Conti DV, Cotterchio M, Devall M, Diez-Obrero V, Dimou N, Drew DA, Figueiredo JC, Giles GG, Gruber SB, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Lynch BM, Mahesworo B, Männistö S, Moreno V, Murphy N, Newcomb PA, Obón-Santacana M, Ose J, Palmer JR, Papadimitriou N, Pardamean B, Pellatt AJ, Peoples AR, Platz EA, Potter JD, Qi L, Qu C, Rennert G, Ruiz-Narvaez E, Sakoda LC, Schmit SL, Shcherbina A, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Um CY, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Wang J, White E, Wolk A, Woods MO, Ulrich CM, Hsu L, Gauderman WJ, Peters U, and Tsilidis KK
- Subjects
- Humans, Risk Factors, Case-Control Studies, Dietary Supplements, Folic Acid metabolism, Colorectal Neoplasms genetics
- Abstract
Background: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folate's role in CRC., Objectives: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk., Methods: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO)., Results: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10
-8 ) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8 ). No interactions were observed for dietary and total folate., Conclusions: Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2023
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35. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations.
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJB, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Le Marchand L, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Lansdorp Vogelaar I, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, and Hsu L
- Subjects
- Humans, Genome-Wide Association Study, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Risk Factors, Multifactorial Inheritance, Ethnicity genetics, Colorectal Neoplasms diagnosis, Colorectal Neoplasms genetics
- Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expand PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS are 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1681-3651 cases and 8696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They are significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values < 0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice., (© 2023. Springer Nature Limited.)
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- 2023
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36. Trends in Smoking-Specific Lung Cancer Incidence Rates Within a US Integrated Health System, 2007-2018.
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Sakoda LC, Alabaster A, Sumner ET, Gordon NP, Quesenberry CP Jr, and Velotta JB
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- Adult, Humans, Female, Male, Incidence, Smoking epidemiology, Ethnicity, Lung Neoplasms epidemiology, Delivery of Health Care, Integrated
- Abstract
Background: At least 10% of lung cancers arise in adults who have never used tobacco. Data remain inconclusive on whether lung cancer incidence has been increasing among adults who have never used tobacco., Research Question: How have age-adjusted incidence rates of lung cancer changed temporally, especially among adults who have never used tobacco?, Study Design and Methods: Trends in lung cancer incidence were examined using linked electronic health record and cancer registry data on a dynamic cohort of adults ≥ 30 years of age at risk of incident lung cancer between January 1, 2007, and December 31, 2018, from an integrated health-care system in northern California. Truncated age-adjusted lung cancer incidence rates and average annual percentage change (AAPC) in rates were estimated, overall and separately for adults who have ever and never used tobacco by age, sex, and race or ethnicity., Results: The cohort included 3,751,348 adults (52.5% female, 48.0% non-Hispanic White, 63.1% have never used tobacco), among whom 18,627 (52.7% female, 68.6% non-Hispanic White, 15.4% have never used tobacco) received a diagnosis of lung cancer. The overall lung cancer incidence rate declined from 91.1 to 63.7 per 100,000 person-years between 2007 and 2009 and between 2016 and 2018 (AAPC, -3.9%; 95% CI, -4.2% to -3.6%). Among adults who have ever used tobacco, incidence rates declined overall from 167.0 to 113.4 per 100,000 person-years (AAPC, -4.2%; 95% CI, -4.4% to -3.9%) and, to varying degrees, within all age, sex, and racial or ethnic groups. Among adults who have never used tobacco, incidence rates were relatively constant, with 3-year-period estimates ranging from 19.9 to 22.6 per 100,000 person-years (AAPC, 0.9%; 95% CI, -0.3% to 2.1%). Incidence rates for adults who have never used tobacco seemed stable over time, within age, sex, and racial or ethnic groups, except for those of Asian and Pacific Islander (API) origin (AAPC, 2.0%; 95% CI, 0.1%-3.9%), whose rates were about twice as high compared with their counterparts., Interpretation: These observed trends underscore the need to elucidate further the cause of lung cancer in adults who have never used tobacco, including why incidence is higher and rising in API adults who have never used tobacco., (Copyright © 2023 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)
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- 2023
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37. Delays in Follow-up after a Positive Lung Cancer Screening Exam: Is the Benefit of Screening Compromised?
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Rivera MP, Henderson LM, and Sakoda LC
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- Humans, Follow-Up Studies, Early Detection of Cancer, Mass Screening, Lung Neoplasms diagnostic imaging
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- 2023
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38. A Genetic Locus within the FMN1/GREM1 Gene Region Interacts with Body Mass Index in Colorectal Cancer Risk.
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Aglago EK, Kim A, Lin Y, Qu C, Evangelou M, Ren Y, Morrison J, Albanes D, Arndt V, Barry EL, Baurley JW, Berndt SI, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Budiarto A, Carreras-Torres R, Casey G, Cenggoro TW, Chan AT, Chang-Claude J, Chen X, Conti DV, Devall M, Diez-Obrero V, Dimou N, Drew D, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampel H, Harlid S, Hidaka A, Harrison TA, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl K, Joshi AD, Kawaguchi ES, Keku TO, Kundaje A, Larsson SC, Marchand LL, Lewinger JP, Li L, Lynch BM, Mahesworo B, Mandic M, Obón-Santacana M, Moreno V, Murphy N, Nan H, Nassir R, Newcomb PA, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Platz EA, Potter JD, Prentice RL, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thibodeau SN, Thomas DC, Tian Y, Ulrich CM, van Duijnhoven FJ, Van Guelpen B, Visvanathan K, Vodicka P, Wang J, White E, Wolk A, Woods MO, Wu AH, Zemlianskaia N, Hsu L, Gauderman WJ, Peters U, Tsilidis KK, and Campbell PT
- Subjects
- Humans, Body Mass Index, Risk Factors, Genetic Loci, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Genome-Wide Association Study, Intercellular Signaling Peptides and Proteins genetics, Obesity complications, Obesity genetics, Colorectal Neoplasms genetics
- Abstract
Colorectal cancer risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment interactions (G × E) can provide biological insights into the effects of obesity on colorectal cancer risk. Here, we assessed potential genome-wide G × E interactions between body mass index (BMI) and common SNPs for colorectal cancer risk using data from 36,415 colorectal cancer cases and 48,451 controls from three international colorectal cancer consortia (CCFR, CORECT, and GECCO). The G × E tests included the conventional logistic regression using multiplicative terms (one degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G × E interactions under specific conditions. BMI was associated with higher colorectal cancer risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher colorectal cancer risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with colorectal cancer risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and colorectal cancer., Significance: This gene-environment interaction analysis revealed a genetic locus in FMN1/GREM1 that interacts with body mass index in colorectal cancer risk, suggesting potential implications for precision prevention strategies., (©2023 The Authors; Published by the American Association for Cancer Research.)
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- 2023
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39. Current tobacco smoking and risk of SARS-CoV-2 infection and hospitalization: Evaluating the role of socio-demographic factors and comorbidities.
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Young-Wolff KC, Slama N, Sakoda LC, Prochaska JJ, Fogelberg R, and Alexeeff SE
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- Adult, Humans, SARS-CoV-2, Retrospective Studies, Risk Factors, Comorbidity, Hospitalization, Ethnicity, Tobacco Smoking, COVID-19 epidemiology, Diabetes Mellitus epidemiology, Cardiovascular Diseases
- Abstract
Our recently published study of >2.4 million adults in Northern California indicated that current versus never-tobacco smoking was associated with lower risk of SARS-CoV-2 infection and less severe coronavirus disease 2019 (COVID-19). We extended this research by evaluating whether these associations were moderated by socio-demographic factors and medical comorbidities. This retrospective cohort study of 1,885,826 adults with current or never-smoking status in Kaiser Permanente Northern California from 3/5/2020 (baseline) to 12/31/2020 (pre-vaccine) included electronic health record-based socio-demographics (sex, age, race/ethnicity, neighborhood deprivation index (NDI)) and medical comorbidities (obesity, cardiovascular conditions, diabetes, renal disease, respiratory conditions). We estimated the adjusted risk of SARS-CoV-2 infection and hospitalization (≤30 days of infection) associated with smoking status using Cox proportional hazard regression models. We estimated associations within subgroups of socio-demographics and comorbidities, and tested for effect modification using interaction terms. During the study, 35,627 patients had SARS-CoV-2 infection. Current versus never-smoking status was associated with lower adjusted rates of SARS-CoV-2 infection (aHR ranging from 0.51 to 0.89) and hospitalization (aHR ranging from 0.32 to 0.70) within nearly every socio-demographic and comorbidity subgroup. Statistically significant interactions showed that the magnitude of protection for SARS-CoV-2 infection varied by sex, age, race/ethnicity, NDI, cardiovascular conditions and diabetes, and for SARS-CoV-2 hospitalization by age and renal disease. Taken together, results indicated that while some socio-demographics and comorbidities moderated the associations, the lower risk of SARS-CoV-2 infection and hospitalization associated with current versus never-smoking status persisted among patients regardless of socio-demographics or comorbidities., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Judith J. Prochaska, PhD, MPH, has provided consultation to pharmaceutical and technology companies that make medications and other treatments for quitting smoking and has served as an expert witness in lawsuits against the tobacco companies. All other authors declare no conflict of interest., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2023
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40. Association of Surgical Timing with Outcomes in Early Stage Lung Cancer.
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Banks KC, Dusendang JR, Schmittdiel JA, Hsu DS, Ashiku SK, Patel AR, Sakoda LC, and Velotta JB
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- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Young Adult, Proportional Hazards Models, Surgical Oncology, Lung Neoplasms surgery, Lung Neoplasms pathology, Neoplasm Recurrence, Local epidemiology, Neoplasm Recurrence, Local pathology
- Abstract
Background: Optimal time to surgery for lung cancer is not well established. We aimed to assess whether time to surgery correlates with outcomes., Methods: We assessed patients 18-84 years old who were diagnosed with stage I/II lung cancer at our integrated healthcare system from 2009 to 2019. Time to surgery was defined to start with disease confirmation (imaging or biopsy) prior to the surgery scheduling date. Outcomes of unplanned return to care within 30 days of lung cancer surgery, all-cause mortality, and disease recurrence were compared based on time to surgery before and after 2, 4, and 12 weeks., Results: Of 2861 included patients, 70% were over 65 years old and 61% were female. Time to surgery occurred in 1-2 weeks for 6%, 3-4 weeks for 31%, 5-12 weeks for 58%, and 13-26 weeks for 5% of patients. Patients with time to surgery > 4 (vs. ≤ 4) weeks had greater risk of both death (hazard ratio (HR) 1.18, 95% confidence interval (CI) 1.00-1.39) and recurrence (HR 1.33, 95% CI 1.10-1.62). Associations were not statistically significant when dichotomizing time to surgery at 2 or 12 weeks for death (2 week HR 1.23, 95% CI 0.93-1.64; 12 week HR 1.35, 95% CI 0.97-1.88) and recurrence (2 week HR 1.54, 95% CI 0.85-2.80; 12 week HR 2.28, 95% CI 0.80-6.46)., Conclusions: Early stage lung cancer patients with time to surgery within 4 weeks experienced lower rates of recurrence. Optimal time to surgical resection may be shorter than previously reported., (© 2023. The Author(s).)
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- 2023
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41. Molecular Characteristics of Early-Onset Colorectal Cancer According to Detailed Anatomical Locations: Comparison With Later-Onset Cases.
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Ugai T, Haruki K, Harrison TA, Cao Y, Qu C, Chan AT, Campbell PT, Akimoto N, Berndt S, Brenner H, Buchanan DD, Chang-Claude J, Fujiyoshi K, Gallinger SJ, Gunter MJ, Hidaka A, Hoffmeister M, Hsu L, Jenkins MA, Milne RL, Moreno V, Newcomb PA, Nishihara R, Pai RK, Sakoda LC, Slattery ML, Sun W, Amitay EL, Alwers E, Thibodeau SN, Toland AE, Van Guelpen B, Woods MO, Zaidi SH, Potter JD, Giannakis M, Song M, Nowak JA, Phipps AI, Peters U, and Ogino S
- Subjects
- Humans, Proto-Oncogene Proteins p21(ras) genetics, DNA Methylation, Mutation, Phenotype, CpG Islands, Microsatellite Instability, Proto-Oncogene Proteins B-raf genetics, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms pathology
- Abstract
Introduction: Early-onset colorectal cancer diagnosed before the age of 50 years has been increasing. Likely reflecting the pathogenic role of the intestinal microbiome, which gradually changes across the entire colorectal length, the prevalence of certain tumor molecular characteristics gradually changes along colorectal subsites. Understanding how colorectal tumor molecular features differ by age and tumor location is important in personalized patient management., Methods: Using 14,004 cases with colorectal cancer including 3,089 early-onset cases, we examined microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF mutations in carcinomas of the cecum, ascending colon, transverse colon, descending colon, sigmoid colon, and rectum and compared early-onset cases with later-onset cases., Results: The proportions of MSI-high, CIMP-high, and BRAF -mutated early-onset tumors were lowest in the rectum (8.8%, 3.4%, and 3.5%, respectively) and highest in the ascending colon (46% MSI-high; 15% CIMP-high) or transverse colon (8.6% BRAF -mutated) (all Ptrend <0.001 across the rectum to ascending colon). Compared with later-onset tumors, early-onset tumors showed a higher prevalence of MSI-high status and a lower prevalence of CIMP-high status and BRAF mutations in most subsites. KRAS mutation prevalence was higher in the cecum compared with that in the other subsites in both early-onset and later-onset tumors ( P < 0.001). Notably, later-onset MSI-high tumors showed a continuous decrease in KRAS mutation prevalence from the rectum (36%) to ascending colon (9%; Ptrend <0.001), followed by an increase in the cecum (14%), while early-onset MSI-high cancers showed no such trend., Discussion: Our findings support biogeographical and pathogenic heterogeneity of colorectal carcinomas in different colorectal subsites and age groups., (Copyright © 2023 by The American College of Gastroenterology.)
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- 2023
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42. Leisure time sedentary behaviour and risks of breast, colorectal, and prostate cancer: A Mendelian randomization analysis.
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Papadimitriou N, Kazmi N, Dimou N, Tsilidis KK, Martin RM, Lewis SJ, Lynch BM, Hoffmeister M, Kweon SS, Li L, Milne RL, Sakoda LC, Schoen RE, Phipps AI, Figueiredo JC, Peters U, Dixon-Suen SC, Gunter MJ, and Murphy N
- Abstract
Sedentary behaviours have been associated with increased risks of some common cancers in epidemiological studies; however, it is unclear if these associations are causal. We examined potential causal associations between self-reported leisure television watching and computer use and risks of breast, colorectal, and prostate cancer using a two-sample Mendelian randomization framework. Genetic variants were identified from a recent genome-wide association study (GWAS). Cancer data were obtained from cancer GWAS consortia. Additional sensitivity analyses were applied to examine the robustness of the results. A 1-standard deviation increment in hours of television watching increased risk of breast (OR: 1.15, 95% confidence interval [CI]: 1.05,1.26) and colorectal cancer (OR: 1.32, 95%CI: 1.16,1.49) with little evidence of an association for prostate cancer risk. In multivariable models adjusted for years of education, the effect estimates for television watching were attenuated (breast cancer, OR: 1.08, 95%CI: 0.92,1.27; colorectal cancer, OR: 1.08, 95%CI: 0.90,1.31). Post-hoc analyses showed that years of education might have a possible confounding and mediating role in the association between television watching with breast and colorectal cancer. Consistent results were observed by sex (colorectal cancer), anatomical subsites, and cancer subtypes. There was little evidence of associations between computer use and cancer risk. We found evidence of positive associations between hours of television watching and risks of breast and colorectal cancer. However, these findings should be interpreted cautiously given the complex role of education. Future studies using objective measures of exposure can provide new insights into the possible role of sedentary behaviour in cancer development., Novelty and Impact: Evidence from observational studies that examined associations between sedentary behaviours and common cancers is mixed and causality is uncertain. In our Mendelian randomization analyses, higher levels of leisure television watching were found to increase the risks of breast and colorectal cancer, suggesting that the that the promotion of lowering sedentary behaviour time could be an effective strategy in the primary prevention of these commonly diagnosed cancers., Article Category: Cancer Epidemiology.
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- 2023
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43. Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response.
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Carreras-Torres R, Kim AE, Lin Y, Díez-Obrero V, Bien SA, Qu C, Wang J, Dimou N, Aglago EK, Albanes D, Arndt V, Baurley JW, Berndt SI, Bézieau S, Bishop DT, Bouras E, Brenner H, Budiarto A, Campbell PT, Casey G, Chan AT, Chang-Claude J, Chen X, Conti DV, Dampier CH, Devall MAM, Drew DA, Figueiredo JC, Gallinger S, Giles GG, Gruber SB, Gsur A, Gunter MJ, Harrison TA, Hidaka A, Hoffmeister M, Huyghe JR, Jenkins MA, Jordahl KM, Kawaguchi E, Keku TO, Kundaje A, Le Marchand L, Lewinger JP, Li L, Mahesworo B, Morrison JL, Murphy N, Nan H, Nassir R, Newcomb PA, Obón-Santacana M, Ogino S, Ose J, Pai RK, Palmer JR, Papadimitriou N, Pardamean B, Peoples AR, Pharoah PDP, Platz EA, Rennert G, Ruiz-Narvaez E, Sakoda LC, Scacheri PC, Schmit SL, Schoen RE, Shcherbina A, Slattery ML, Stern MC, Su YR, Tangen CM, Thomas DC, Tian Y, Tsilidis KK, Ulrich CM, van Duijnhoven FJB, Van Guelpen B, Visvanathan K, Vodicka P, Cenggoro TW, Weinstein SJ, White E, Wolk A, Woods MO, Hsu L, Peters U, Moreno V, and Gauderman WJ
- Subjects
- Humans, Smoking genetics, Risk Factors, Genotype, Inflammation, Tobacco Smoking, Genetic Loci, Polymorphism, Single Nucleotide, Case-Control Studies, Genetic Predisposition to Disease, Colorectal Neoplasms epidemiology
- Abstract
Background: Tobacco smoking is an established risk factor for colorectal cancer. However, genetically defined population subgroups may have increased susceptibility to smoking-related effects on colorectal cancer., Methods: A genome-wide interaction scan was performed including 33,756 colorectal cancer cases and 44,346 controls from three genetic consortia., Results: Evidence of an interaction was observed between smoking status (ever vs. never smokers) and a locus on 3p12.1 (rs9880919, P = 4.58 × 10-8), with higher associated risk in subjects carrying the GG genotype [OR, 1.25; 95% confidence interval (CI), 1.20-1.30] compared with the other genotypes (OR <1.17 for GA and AA). Among ever smokers, we observed interactions between smoking intensity (increase in 10 cigarettes smoked per day) and two loci on 6p21.33 (rs4151657, P = 1.72 × 10-8) and 8q24.23 (rs7005722, P = 2.88 × 10-8). Subjects carrying the rs4151657 TT genotype showed higher risk (OR, 1.12; 95% CI, 1.09-1.16) compared with the other genotypes (OR <1.06 for TC and CC). Similarly, higher risk was observed among subjects carrying the rs7005722 AA genotype (OR, 1.17; 95% CI, 1.07-1.28) compared with the other genotypes (OR <1.13 for AC and CC). Functional annotation revealed that SNPs in 3p12.1 and 6p21.33 loci were located in regulatory regions, and were associated with expression levels of nearby genes. Genetic models predicting gene expression revealed that smoking parameters were associated with lower colorectal cancer risk with higher expression levels of CADM2 (3p12.1) and ATF6B (6p21.33)., Conclusions: Our study identified novel genetic loci that may modulate the risk for colorectal cancer of smoking status and intensity, linked to tumor suppression and immune response., Impact: These findings can guide potential prevention treatments., (©2022 American Association for Cancer Research.)
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- 2023
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44. Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort.
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Su YR, Sakoda LC, Jeon J, Thomas M, Lin Y, Schneider JL, Udaltsova N, Lee JK, Lansdorp-Vogelaar I, Peterse EFP, Zauber AG, Zheng J, Zheng Y, Hauser E, Baron JA, Barry EL, Bishop DT, Brenner H, Buchanan DD, Burnett-Hartman A, Campbell PT, Casey G, Castellví-Bel S, Chan AT, Chang-Claude J, Figueiredo JC, Gallinger SJ, Giles GG, Gruber SB, Gsur A, Gunter MJ, Hampe J, Hampel H, Harrison TA, Hoffmeister M, Hua X, Huyghe JR, Jenkins MA, Keku TO, Marchand LL, Li L, Lindblom A, Moreno V, Newcomb PA, Pharoah PDP, Platz EA, Potter JD, Qu C, Rennert G, Schoen RE, Slattery ML, Song M, van Duijnhoven FJB, Van Guelpen B, Vodicka P, Wolk A, Woods MO, Wu AH, Hayes RB, Peters U, Corley DA, and Hsu L
- Subjects
- Humans, Middle Aged, Aged, Risk Factors, Risk Assessment, Colorectal Neoplasms epidemiology
- Abstract
Background: Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance., Methods: The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group)., Results: In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity., Conclusions: The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort., Impact: The proposed model has potential utility in risk-stratified colorectal cancer prevention., (©2023 American Association for Cancer Research.)
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- 2023
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45. Prognostic role of detailed colorectal location and tumor molecular features: analyses of 13,101 colorectal cancer patients including 2994 early-onset cases.
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Ugai T, Akimoto N, Haruki K, Harrison TA, Cao Y, Qu C, Chan AT, Campbell PT, Berndt SI, Buchanan DD, Cross AJ, Diergaarde B, Gallinger SJ, Gunter MJ, Harlid S, Hidaka A, Hoffmeister M, Brenner H, Chang-Claude J, Hsu L, Jenkins MA, Lin Y, Milne RL, Moreno V, Newcomb PA, Nishihara R, Obon-Santacana M, Pai RK, Sakoda LC, Schoen RE, Slattery ML, Sun W, Amitay EL, Alwers E, Thibodeau SN, Toland AE, Van Guelpen B, Zaidi SH, Potter JD, Meyerhardt JA, Giannakis M, Song M, Nowak JA, Peters U, Phipps AI, and Ogino S
- Subjects
- Humans, Prognosis, Proto-Oncogene Proteins B-raf genetics, DNA Methylation, Mutation, Phenotype, Microsatellite Instability, CpG Islands genetics, Colorectal Neoplasms pathology, Colonic Neoplasms pathology
- Abstract
Background: The pathogenic effect of colorectal tumor molecular features may be influenced by several factors, including those related to microbiota, inflammation, metabolism, and epigenetics, which may change along colorectal segments. We hypothesized that the prognostic association of colon cancer location might differ by tumor molecular characteristics., Methods: Utilizing a consortium dataset of 13,101 colorectal cancer cases, including 2994 early-onset cases, we conducted survival analyses of detailed tumor location stratified by statuses of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF oncogenic mutation., Results: There was a statistically significant trend for better colon cancer-specific survival in relation to tumor location from the cecum to sigmoid colon (P
trend = 0.002), excluding the rectum. The prognostic association of colon location differed by MSI status (Pinteraction = 0.001). Non-MSI-high tumors exhibited the cecum-to-sigmoid trend for better colon cancer-specific survival [Ptrend < 0.001; multivariable hazard ratio (HR) for the sigmoid colon (vs. cecum), 0.80; 95% confidence interval (CI) 0.70-0.92], whereas MSI-high tumors demonstrated a suggestive cecum-to-sigmoid trend for worse survival (Ptrend = 0.020; the corresponding HR, 2.13; 95% CI 1.15-3.92). The prognostic association of colon tumor location also differed by CIMP status (Pinteraction = 0.003) but not significantly by age, stage, or other features. Furthermore, MSI-high status was a favorable prognostic indicator in all stages., Conclusions: Both detailed colonic location and tumor molecular features need to be accounted for colon cancer prognostication to advance precision medicine. Our study indicates the important role of large-scale studies to robustly examine detailed colonic subsites in molecular oncology research., (© 2023. Japanese Society of Gastroenterology.)- Published
- 2023
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46. Body mass index and molecular subtypes of colorectal cancer.
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Murphy N, Newton CC, Song M, Papadimitriou N, Hoffmeister M, Phipps AI, Harrison TA, Newcomb PA, Aglago EK, Berndt SI, Brenner H, Buchanan DD, Cao Y, Chan AT, Chen X, Cheng I, Chang-Claude J, Dimou N, Drew D, Farris AB, French AJ, Gallinger S, Georgeson P, Giannakis M, Giles GG, Gruber SB, Harlid S, Hsu L, Huang WY, Jenkins MA, Laskar RS, Le Marchand L, Limburg P, Lin Y, Mandic M, Nowak JA, Obón-Santacana M, Ogino S, Qu C, Sakoda LC, Schoen RE, Southey MC, Stadler ZK, Steinfelder RS, Sun W, Thibodeau SN, Toland AE, Trinh QM, Tsilidis KK, Ugai T, Van Guelpen B, Wang X, Woods MO, Zaidi SH, Gunter MJ, Peters U, and Campbell PT
- Subjects
- Humans, Female, Body Mass Index, Proto-Oncogene Proteins B-raf genetics, Microsatellite Instability, Proto-Oncogene Proteins p21(ras) genetics, Risk Factors, Obesity complications, CpG Islands, DNA Methylation, Mutation, Colorectal Neoplasms, Hereditary Nonpolyposis complications, Colorectal Neoplasms pathology
- Abstract
Background: Obesity is an established risk factor for colorectal cancer (CRC), but the evidence for the association is inconsistent across molecular subtypes of the disease., Methods: We pooled data on body mass index (BMI), tumor microsatellite instability status, CpG island methylator phenotype status, BRAF and KRAS mutations, and Jass classification types for 11 872 CRC cases and 11 013 controls from 11 observational studies. We used multinomial logistic regression to estimate odds ratios (OR) and 95% confidence intervals (CI) adjusted for covariables., Results: Higher BMI was associated with increased CRC risk (OR per 5 kg/m2 = 1.18, 95% CI = 1.15 to 1.22). The positive association was stronger for men than women but similar across tumor subtypes defined by individual molecular markers. In analyses by Jass type, higher BMI was associated with elevated CRC risk for types 1-4 cases but not for type 5 CRC cases (considered familial-like/Lynch syndrome microsatellite instability-H, CpG island methylator phenotype-low or negative, BRAF-wild type, KRAS-wild type, OR = 1.04, 95% CI = 0.90 to 1.20). This pattern of associations for BMI and Jass types was consistent by sex and design of contributing studies (cohort or case-control)., Conclusions: In contrast to previous reports with fewer study participants, we found limited evidence of heterogeneity for the association between BMI and CRC risk according to molecular subtype, suggesting that obesity influences nearly all major pathways involved in colorectal carcinogenesis. The null association observed for the Jass type 5 suggests that BMI is not a risk factor for the development of CRC for individuals with Lynch syndrome., (© The Author(s) 2022. Published by Oxford University Press.)
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- 2023
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47. MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer.
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Song X, Ji J, Rothstein JH, Alexeeff SE, Sakoda LC, Sistig A, Achacoso N, Jorgenson E, Whittemore AS, Klein RJ, Habel LA, Wang P, and Sieh W
- Subjects
- Female, Humans, Gene Expression Profiling, Breast metabolism, Genome-Wide Association Study, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Transcriptome, Breast Neoplasms genetics
- Abstract
Human bulk tissue samples comprise multiple cell types with diverse roles in disease etiology. Conventional transcriptome-wide association study approaches predict genetically regulated gene expression at the tissue level, without considering cell-type heterogeneity, and test associations of predicted tissue-level expression with disease. Here we develop MiXcan, a cell-type-aware transcriptome-wide association study approach that predicts cell-type-level expression, identifies disease-associated genes via combination of cell-type-level association signals for multiple cell types, and provides insight into the disease-critical cell type. As a proof of concept, we conducted cell-type-aware analyses of breast cancer in 58,648 women and identified 12 transcriptome-wide significant genes using MiXcan compared with only eight genes using conventional approaches. Importantly, MiXcan identified genes with distinct associations in mammary epithelial versus stromal cells, including three new breast cancer susceptibility genes. These findings demonstrate that cell-type-aware transcriptome-wide analyses can reveal new insights into the genetic and cellular etiology of breast cancer and other diseases., (© 2023. The Author(s).)
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- 2023
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48. Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity.
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Thomas M, Su YR, Rosenthal EA, Sakoda LC, Schmit SL, Timofeeva MN, Chen Z, Fernandez-Rozadilla C, Law PJ, Murphy N, Carreras-Torres R, Diez-Obrero V, van Duijnhoven FJ, Jiang S, Shin A, Wolk A, Phipps AI, Burnett-Hartman A, Gsur A, Chan AT, Zauber AG, Wu AH, Lindblom A, Um CY, Tangen CM, Gignoux C, Newton C, Haiman CA, Qu C, Bishop DT, Buchanan DD, Crosslin DR, Conti DV, Kim DH, Hauser E, White E, Siegel E, Schumacher FR, Rennert G, Giles GG, Hampel H, Brenner H, Oze I, Oh JH, Lee JK, Schneider JL, Chang-Claude J, Kim J, Huyghe JR, Zheng J, Hampe J, Greenson J, Hopper JL, Palmer JR, Visvanathan K, Matsuo K, Matsuda K, Jung KJ, Li L, Marchand LL, Vodickova L, Bujanda L, Gunter MJ, Matejcic M, Jenkins MA, Slattery ML, D'Amato M, Wang M, Hoffmeister M, Woods MO, Kim M, Song M, Iwasaki M, Du M, Udaltsova N, Sawada N, Vodicka P, Campbell PT, Newcomb PA, Cai Q, Pearlman R, Pai RK, Schoen RE, Steinfelder RS, Haile RW, Vandenputtelaar R, Prentice RL, Küry S, Castellví-Bel S, Tsugane S, Berndt SI, Lee SC, Brezina S, Weinstein SJ, Chanock SJ, Jee SH, Kweon SS, Vadaparampil S, Harrison TA, Yamaji T, Keku TO, Vymetalkova V, Arndt V, Jia WH, Shu XO, Lin Y, Ahn YO, Stadler ZK, Van Guelpen B, Ulrich CM, Platz EA, Potter JD, Li CI, Meester R, Moreno V, Figueiredo JC, Casey G, Vogelaar IL, Dunlop MG, Gruber SB, Hayes RB, Pharoah PDP, Houlston RS, Jarvik GP, Tomlinson IP, Zheng W, Corley DA, Peters U, and Hsu L
- Abstract
Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal performance in non-European ancestry populations, limiting their utility among these populations. Towards addressing this deficiency, we expanded PRS development for CRC by incorporating Asian ancestry data (21,731 cases; 47,444 controls) into European ancestry training datasets (78,473 cases; 107,143 controls). The AUC estimates (95% CI) of PRS were 0.63(0.62-0.64), 0.59(0.57-0.61), 0.62(0.60-0.63), and 0.65(0.63-0.66) in independent datasets including 1,681-3,651 cases and 8,696-115,105 controls of Asian, Black/African American, Latinx/Hispanic, and non-Hispanic White, respectively. They were significantly better than the European-centric PRS in all four major US racial and ethnic groups (p-values<0.05). Further inclusion of non-European ancestry populations, especially Black/African American and Latinx/Hispanic, is needed to improve the risk prediction and enhance equity in applying PRS in clinical practice.
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- 2023
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49. Tobacco Smoking and Risk of SARS-CoV-2 Infection and Disease Severity Among Adults in an Integrated Healthcare System in California.
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Young-Wolff KC, Slama N, Alexeeff SE, Sakoda LC, Fogelberg R, Myers LC, Campbell CI, Adams AS, and Prochaska JJ
- Subjects
- Humans, Adult, COVID-19 Testing, Cohort Studies, Retrospective Studies, SARS-CoV-2, Tobacco Smoking, California epidemiology, Patient Acuity, Hospitalization, COVID-19 epidemiology, Delivery of Health Care, Integrated
- Abstract
Introduction: The relationship between tobacco smoking status and SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19) severity is highly debated. We conducted a retrospective cohort study of >2.4 million adults in a large healthcare system to evaluate whether smoking is associated with SARS-CoV-2 infection and disease severity., Aims and Methods: This retrospective cohort study of 2,427,293 adults in KPNC from March 5, 2020 (baseline) to December 31, 2020 (pre-vaccine) included smoking status (current, former, never), socio-demographics, and comorbidities from the electronic health record. SARS-CoV-2 infection (identified by a positive PCR test) and COVID-19 severity (hospitalization, ICU admission or death ≤ 30 days of COVID-19 diagnosis) were estimated in time-to-event analyses using Cox proportional hazard regression models adjusting for covariates. Secondary analyses examined COVID-19 severity among patients with COVID-19 using logistic regression., Results: During the study, 44,270 patients had SARS-CoV-2 infection. Current smoking was associated with lower adjusted rates of SARS-CoV-2 infection (aHR = 0.64 95% CI: 0.61-0.67), COVID-19-related hospitalization (aHR = 0.48 95% CI: 0.40-0.58), ICU admission (aHR = 0.62 95% CI: 0.42-0.87), and death (aHR = 0.52 95% CI: 0.27-0.89) than never-smoking. Former smoking was associated with a lower adjusted rate of SARS-CoV-2 infection (aHR = 0.96 95% CI: 0.94-0.99) and higher adjusted rates of hospitalization (aHR = 1.10 95% CI: 1.03-1.08) and death (aHR = 1.32 95% CI: 1.11-1.56) than never-smoking. Logistic regression analyses among patients with COVID-19 found lower odds of hospitalization for current versus never-smoking and higher odds of hospitalization and death for former versus never-smoking., Conclusions: In the largest US study to date on smoking and COVID-19, current and former smoking showed lower risk of SARS-CoV-2 infection than never-smoking, while a history of smoking was associated with higher risk of severe COVID-19., Implications: In this cohort study of 2.4 million adults, adjusting for socio-demographics and medical comorbidities, current tobacco smoking was associated with a lower risk of both SARS-CoV-2 infection and severe COVID-19 illness compared to never-smoking. A history of smoking was associated with a slightly lower risk of SARS-CoV-2 infection and a modestly higher risk of severe COVID-19 illness compared to never-smoking. The lower observed COVID-19 risk for current versus never-smoking deserves further investigation. Results support prioritizing individuals with smoking-related comorbidities for vaccine outreach and treatments as they become available., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
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- 2023
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50. Survival Associated With Consolidated Multidisciplinary Care in Head and Neck Cancer: A Retrospective Cohort Study.
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Meltzer C, Nguyen NT, Zhang J, Aguilar J, Blatchins MA, Quesenberry CP Jr, Wang Y, and Sakoda LC
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- Humans, Retrospective Studies, Squamous Cell Carcinoma of Head and Neck, Ambulatory Care Facilities, Head and Neck Neoplasms therapy, Neoplasms, Squamous Cell
- Abstract
Objective: To compare survival among patients with head and neck cancer before and after implementing a weekly multidisciplinary clinic and case conference., Methods: A retrospective cohort study with chart review was conducted of 3081 patients (1431 preimplementation, 1650 postimplementation) diagnosed with stage I-IVB tumors in the oral cavity, oropharynx, hypopharynx, nasopharynx, or larynx. Pre- and postimplementation differences in overall and disease-specific survival 1, 2, and 3 years after diagnosis were assessed with unadjusted Kaplan-Meier curves and multivariable Cox proportional hazard regression models adjusted for demographic characteristics, comorbidity burden, smoking status, tumor site and stage, p16 status for oropharyngeal squamous cell cancer, and initial treatment modality., Results: Patients less commonly presented with oropharyngeal squamous cell cancer and advanced tumors (III-IVB) and received primary treatment with surgery alone or with adjuvant therapy preimplementation than postimplementation. Overall survival at 3 years was 77.1% and 79.9% (P = .07) and disease-specific survival was 84.9% and 87.5% (P = .05) among pre- and postimplementation patients, respectively. At 3 years, preimplementation patients had slightly poorer overall (hazard ratio, 1.20; 95% CI, 1.02-1.40) and disease-specific (hazard ratio, 1.26; 95% CI, 1.03-1.54) adjusted survival than postimplementation patients. In unadjusted and adjusted analyses, survival improvements were more pronounced among patients with advanced disease., Discussion: A multidisciplinary clinic and case conference were associated with improved outcomes among patients with head and neck cancer, especially those with advanced tumors., Implications for Practice: All patients with head and neck cancer should receive multidisciplinary team management, especially those with advanced tumors., (© American Academy of Otolaryngology-Head and Neck Surgery Foundation 2021.)
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- 2023
- Full Text
- View/download PDF
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